Overview

Dataset statistics

Number of variables898
Number of observations180004
Missing cells0
Missing cells (%)0.0%
Total size in memory1.2 GiB
Average record size in memory7.0 KiB

Variable types

Text9
Numeric882
Unsupported7

Alerts

NACCCORE has constant value ""Constant
LOGIMO is highly skewed (γ1 = 21.76378291)Skewed
LOGIDAY is highly skewed (γ1 = 21.37430637)Skewed
LOGIYR is highly skewed (γ1 = 21.2732753)Skewed
LOGIPREV is highly skewed (γ1 = 23.02265472)Skewed
DOWNS is highly skewed (γ1 = 43.26746353)Skewed
HUNT is highly skewed (γ1 = 122.4646208)Skewed
PRION is highly skewed (γ1 = 30.4906507)Skewed
NEOP is highly skewed (γ1 = 25.71446928)Skewed
NPINF1A is highly skewed (γ1 = 20.50346473)Skewed
NPINF2A is highly skewed (γ1 = 20.10884902)Skewed
NPINF3A is highly skewed (γ1 = 20.00695848)Skewed
NPATGFR1 is highly skewed (γ1 = 24.83410621)Skewed
NPATGFR2 is highly skewed (γ1 = 24.07684509)Skewed
NPATGFR3 is highly skewed (γ1 = 24.09986258)Skewed
NPATGFR4 is highly skewed (γ1 = 25.56991535)Skewed
MOCALANX is an unsupported type, check if it needs cleaning or further analysisUnsupported
RESPOTHX is an unsupported type, check if it needs cleaning or further analysisUnsupported
ADGCEXR is an unsupported type, check if it needs cleaning or further analysisUnsupported
NGDSGWAC is an unsupported type, check if it needs cleaning or further analysisUnsupported
NGDSEXAC is an unsupported type, check if it needs cleaning or further analysisUnsupported
NGDSWGAC is an unsupported type, check if it needs cleaning or further analysisUnsupported
NGDSWEAC is an unsupported type, check if it needs cleaning or further analysisUnsupported
NACCDAYS has 15577 (8.7%) zerosZeros
NACCFDYS has 48605 (27.0%) zerosZeros
HISPANIC has 167044 (92.8%) zerosZeros
NEWINF has 115799 (64.3%) zerosZeros
INHISP has 50894 (28.3%) zerosZeros
INLIVWTH has 69262 (38.5%) zerosZeros
INRELY has 168168 (93.4%) zerosZeros
NACCFAM has 62851 (34.9%) zerosZeros
NACCMOM has 109086 (60.6%) zerosZeros
NACCDAD has 139897 (77.7%) zerosZeros
NACCAM has 38378 (21.3%) zerosZeros
NACCFM has 38422 (21.3%) zerosZeros
NACCOM has 38635 (21.5%) zerosZeros
NACCFADM has 179401 (99.7%) zerosZeros
NACCFFTD has 178901 (99.4%) zerosZeros
ANYMEDS has 7055 (3.9%) zerosZeros
TOBAC30 has 114440 (63.6%) zerosZeros
TOBAC100 has 64518 (35.8%) zerosZeros
SMOKYRS has 64503 (35.8%) zerosZeros
PACKSPER has 64481 (35.8%) zerosZeros
ALCOCCAS has 5587 (3.1%) zerosZeros
CVHATT has 111537 (62.0%) zerosZeros
CVAFIB has 108566 (60.3%) zerosZeros
CVANGIO has 110099 (61.2%) zerosZeros
CVBYPASS has 113774 (63.2%) zerosZeros
CVPACDEF has 15337 (8.5%) zerosZeros
CVPACE has 99494 (55.3%) zerosZeros
CVCHF has 115306 (64.1%) zerosZeros
CVANGINA has 15134 (8.4%) zerosZeros
CVHVALVE has 15434 (8.6%) zerosZeros
CVOTHR has 103863 (57.7%) zerosZeros
CBSTROKE has 112114 (62.3%) zerosZeros
CBTIA has 111072 (61.7%) zerosZeros
PD has 116403 (64.7%) zerosZeros
PDOTHR has 115295 (64.1%) zerosZeros
SEIZURES has 115320 (64.1%) zerosZeros
NACCTBI has 103275 (57.4%) zerosZeros
TBI has 12905 (7.2%) zerosZeros
TBIBRIEF has 14040 (7.8%) zerosZeros
TRAUMBRF has 93642 (52.0%) zerosZeros
TBIEXTEN has 14736 (8.2%) zerosZeros
TRAUMEXT has 99313 (55.2%) zerosZeros
TBIWOLOS has 14191 (7.9%) zerosZeros
TRAUMCHR has 102617 (57.0%) zerosZeros
NCOTHR has 97359 (54.1%) zerosZeros
DIABETES has 102520 (57.0%) zerosZeros
HYPERTEN has 53080 (29.5%) zerosZeros
HYPERCHO has 51248 (28.5%) zerosZeros
B12DEF has 108769 (60.4%) zerosZeros
THYROID has 94373 (52.4%) zerosZeros
ARTHRIT has 7887 (4.4%) zerosZeros
ARTHUPEX has 11109 (6.2%) zerosZeros
ARTHLOEX has 10653 (5.9%) zerosZeros
ARTHSPIN has 12546 (7.0%) zerosZeros
ARTHUNK has 15306 (8.5%) zerosZeros
INCONTU has 91588 (50.9%) zerosZeros
INCONTF has 109232 (60.7%) zerosZeros
APNEA has 12002 (6.7%) zerosZeros
RBD has 14513 (8.1%) zerosZeros
INSOMN has 13005 (7.2%) zerosZeros
OTHSLEEP has 14965 (8.3%) zerosZeros
ALCOHOL has 112156 (62.3%) zerosZeros
ABUSOTHR has 117609 (65.3%) zerosZeros
PTSD has 15082 (8.4%) zerosZeros
BIPOLAR has 15390 (8.5%) zerosZeros
SCHIZ has 15392 (8.6%) zerosZeros
DEP2YRS has 82445 (45.8%) zerosZeros
DEPOTHR has 88884 (49.4%) zerosZeros
ANXIETY has 11930 (6.6%) zerosZeros
OCD has 15310 (8.5%) zerosZeros
NPSYDEV has 15028 (8.3%) zerosZeros
PSYCDIS has 110435 (61.4%) zerosZeros
VISION has 109112 (60.6%) zerosZeros
VISCORR has 32744 (18.2%) zerosZeros
VISWCORR has 5944 (3.3%) zerosZeros
HEARING has 38247 (21.2%) zerosZeros
HEARAID has 128112 (71.2%) zerosZeros
HEARWAID has 3161 (1.8%) zerosZeros
ABRUPT has 94591 (52.5%) zerosZeros
STEPWISE has 94703 (52.6%) zerosZeros
SOMATIC has 93223 (51.8%) zerosZeros
EMOT has 94452 (52.5%) zerosZeros
HXHYPER has 41476 (23.0%) zerosZeros
HXSTROKE has 90232 (50.1%) zerosZeros
FOCLSYM has 91012 (50.6%) zerosZeros
FOCLSIGN has 89328 (49.6%) zerosZeros
HACHIN has 36762 (20.4%) zerosZeros
CVDCOG has 41084 (22.8%) zerosZeros
STROKCOG has 14416 (8.0%) zerosZeros
CVDIMAG has 29489 (16.4%) zerosZeros
CVDIMAG1 has 1881 (1.0%) zerosZeros
CVDIMAG2 has 1894 (1.1%) zerosZeros
CVDIMAG4 has 2069 (1.1%) zerosZeros
PDNORMAL has 46144 (25.6%) zerosZeros
SPEECH has 83939 (46.6%) zerosZeros
FACEXP has 82433 (45.8%) zerosZeros
TRESTFAC has 92830 (51.6%) zerosZeros
TRESTRHD has 91587 (50.9%) zerosZeros
TRESTLHD has 91752 (51.0%) zerosZeros
TRESTRFT has 94576 (52.5%) zerosZeros
TRESTLFT has 94597 (52.6%) zerosZeros
TRACTRHD has 79876 (44.4%) zerosZeros
TRACTLHD has 79002 (43.9%) zerosZeros
RIGDNECK has 87239 (48.5%) zerosZeros
RIGDUPRT has 80907 (44.9%) zerosZeros
RIGDUPLF has 81532 (45.3%) zerosZeros
RIGDLORT has 87483 (48.6%) zerosZeros
RIGDLOLF has 87440 (48.6%) zerosZeros
TAPSRT has 77129 (42.8%) zerosZeros
TAPSLF has 75957 (42.2%) zerosZeros
HANDMOVR has 79080 (43.9%) zerosZeros
HANDMOVL has 78275 (43.5%) zerosZeros
HANDALTR has 79566 (44.2%) zerosZeros
HANDALTL has 78112 (43.4%) zerosZeros
LEGRT has 80400 (44.7%) zerosZeros
LEGLF has 79479 (44.2%) zerosZeros
ARISING has 77287 (42.9%) zerosZeros
POSTURE has 73823 (41.0%) zerosZeros
GAIT has 74369 (41.3%) zerosZeros
POSSTAB has 76096 (42.3%) zerosZeros
BRADYKIN has 76623 (42.6%) zerosZeros
MEMORY has 86733 (48.2%) zerosZeros
ORIENT has 117132 (65.1%) zerosZeros
JUDGMENT has 103767 (57.6%) zerosZeros
COMMUN has 116112 (64.5%) zerosZeros
HOMEHOBB has 115531 (64.2%) zerosZeros
PERSCARE has 147628 (82.0%) zerosZeros
CDRSUM has 81406 (45.2%) zerosZeros
CDRGLOB has 84919 (47.2%) zerosZeros
COMPORT has 125349 (69.6%) zerosZeros
CDRLANG has 114708 (63.7%) zerosZeros
DEL has 158322 (88.0%) zerosZeros
HALL has 162030 (90.0%) zerosZeros
AGIT has 139146 (77.3%) zerosZeros
DEPD has 128922 (71.6%) zerosZeros
ANX has 131662 (73.1%) zerosZeros
ELAT has 164631 (91.5%) zerosZeros
APA has 133850 (74.4%) zerosZeros
DISN has 150151 (83.4%) zerosZeros
IRR has 129035 (71.7%) zerosZeros
MOT has 152381 (84.7%) zerosZeros
NITE has 134620 (74.8%) zerosZeros
APP has 143475 (79.7%) zerosZeros
NOGDS has 155128 (86.2%) zerosZeros
SATIS has 138966 (77.2%) zerosZeros
DROPACT has 126149 (70.1%) zerosZeros
EMPTY has 144085 (80.0%) zerosZeros
BORED has 135423 (75.2%) zerosZeros
SPIRITS has 145186 (80.7%) zerosZeros
AFRAID has 140052 (77.8%) zerosZeros
HAPPY has 139605 (77.6%) zerosZeros
HELPLESS has 140037 (77.8%) zerosZeros
STAYHOME has 115866 (64.4%) zerosZeros
MEMPROB has 112723 (62.6%) zerosZeros
WONDRFUL has 146879 (81.6%) zerosZeros
WRTHLESS has 144710 (80.4%) zerosZeros
ENERGY has 104065 (57.8%) zerosZeros
HOPELESS has 147709 (82.1%) zerosZeros
BETTER has 145101 (80.6%) zerosZeros
NACCGDS has 53516 (29.7%) zerosZeros
BILLS has 103381 (57.4%) zerosZeros
TAXES has 98581 (54.8%) zerosZeros
SHOPPING has 115660 (64.3%) zerosZeros
GAMES has 114501 (63.6%) zerosZeros
STOVE has 131754 (73.2%) zerosZeros
MEALPREP has 113751 (63.2%) zerosZeros
EVENTS has 119357 (66.3%) zerosZeros
PAYATTN has 121754 (67.6%) zerosZeros
REMDATES has 102176 (56.8%) zerosZeros
TRAVEL has 109077 (60.6%) zerosZeros
NACCNREX has 33045 (18.4%) zerosZeros
NORMEXAM has 39136 (21.7%) zerosZeros
FOCLDEF has 86802 (48.2%) zerosZeros
GAITDIS has 86873 (48.3%) zerosZeros
EYEMOVE has 92354 (51.3%) zerosZeros
PARKSIGN has 55006 (30.6%) zerosZeros
RESTTRL has 59093 (32.8%) zerosZeros
RESTTRR has 59048 (32.8%) zerosZeros
SLOWINGL has 56849 (31.6%) zerosZeros
SLOWINGR has 57052 (31.7%) zerosZeros
RIGIDL has 57658 (32.0%) zerosZeros
RIGIDR has 57619 (32.0%) zerosZeros
BRADY has 56782 (31.5%) zerosZeros
PARKGAIT has 57808 (32.1%) zerosZeros
POSTINST has 57885 (32.2%) zerosZeros
CVDSIGNS has 58949 (32.7%) zerosZeros
CORTDEF has 59914 (33.3%) zerosZeros
SIVDFIND has 59726 (33.2%) zerosZeros
CVDMOTL has 59608 (33.1%) zerosZeros
CVDMOTR has 59831 (33.2%) zerosZeros
CORTVISL has 60130 (33.4%) zerosZeros
CORTVISR has 60143 (33.4%) zerosZeros
SOMATL has 60139 (33.4%) zerosZeros
SOMATR has 60143 (33.4%) zerosZeros
POSTCORT has 59882 (33.3%) zerosZeros
PSPCBS has 59552 (33.1%) zerosZeros
EYEPSP has 59943 (33.3%) zerosZeros
DYSPSP has 60031 (33.3%) zerosZeros
AXIALPSP has 59999 (33.3%) zerosZeros
GAITPSP has 60029 (33.3%) zerosZeros
APRAXSP has 60016 (33.3%) zerosZeros
APRAXL has 60018 (33.3%) zerosZeros
APRAXR has 60061 (33.4%) zerosZeros
CORTSENL has 60113 (33.4%) zerosZeros
CORTSENR has 60141 (33.4%) zerosZeros
ATAXL has 60208 (33.4%) zerosZeros
ATAXR has 60224 (33.5%) zerosZeros
ALIENLML has 60223 (33.5%) zerosZeros
ALIENLMR has 60228 (33.5%) zerosZeros
DYSTONL has 60175 (33.4%) zerosZeros
DYSTONR has 60184 (33.4%) zerosZeros
MYOCLLT has 60208 (33.4%) zerosZeros
MYOCLRT has 60214 (33.5%) zerosZeros
ALSFIND has 60119 (33.4%) zerosZeros
GAITNPH has 60240 (33.5%) zerosZeros
OTHNEUR has 46742 (26.0%) zerosZeros
DECSUB has 83090 (46.2%) zerosZeros
DECIN has 80644 (44.8%) zerosZeros
DECCLIN has 47878 (26.6%) zerosZeros
DECCLCOG has 40410 (22.4%) zerosZeros
COGMEM has 93919 (52.2%) zerosZeros
COGORI has 52073 (28.9%) zerosZeros
COGJUDG has 112200 (62.3%) zerosZeros
COGLANG has 132537 (73.6%) zerosZeros
COGVIS has 143496 (79.7%) zerosZeros
COGATTN has 137555 (76.4%) zerosZeros
COGFLUC has 110137 (61.2%) zerosZeros
COGOTHR has 176728 (98.2%) zerosZeros
NACCCOGF has 88740 (49.3%) zerosZeros
COGMODE has 88800 (49.3%) zerosZeros
DECCLBE has 50240 (27.9%) zerosZeros
BEAPATHY has 146352 (81.3%) zerosZeros
BEDEP has 147490 (81.9%) zerosZeros
BEVHALL has 172930 (96.1%) zerosZeros
BEVWELL has 86252 (47.9%) zerosZeros
BEAHALL has 176410 (98.0%) zerosZeros
BEDEL has 170466 (94.7%) zerosZeros
BEDISIN has 165982 (92.2%) zerosZeros
BEIRRIT has 151871 (84.4%) zerosZeros
BEAGIT has 164438 (91.4%) zerosZeros
BEPERCH has 169368 (94.1%) zerosZeros
BEREM has 111822 (62.1%) zerosZeros
BEANX has 58209 (32.3%) zerosZeros
BEOTHR has 174819 (97.1%) zerosZeros
NACCBEHF has 115335 (64.1%) zerosZeros
BEMODE has 114467 (63.6%) zerosZeros
DECCLMOT has 62953 (35.0%) zerosZeros
MOGAIT has 156383 (86.9%) zerosZeros
MOFALLS has 167235 (92.9%) zerosZeros
MOTREM has 164510 (91.4%) zerosZeros
MOSLOW has 155289 (86.3%) zerosZeros
NACCMOTF has 143611 (79.8%) zerosZeros
MOMODE has 143664 (79.8%) zerosZeros
MOMOPARK has 20376 (11.3%) zerosZeros
MOMOALS has 12565 (7.0%) zerosZeros
LBDEVAL has 73085 (40.6%) zerosZeros
FTLDEVAL has 72819 (40.5%) zerosZeros
MMSEVIS has 5114 (2.8%) zerosZeros
MMSEHEAR has 5165 (2.9%) zerosZeros
MMSEORDA has 6419 (3.6%) zerosZeros
MMSEORLO has 2917 (1.6%) zerosZeros
PENTAGON has 18106 (10.1%) zerosZeros
LOGIMEM has 5668 (3.1%) zerosZeros
MEMUNITS has 14530 (8.1%) zerosZeros
UDSBENTD has 5361 (3.0%) zerosZeros
UDSBENRS has 10228 (5.7%) zerosZeros
DIGIB has 2145 (1.2%) zerosZeros
DIGIBLEN has 2144 (1.2%) zerosZeros
VEG has 3087 (1.7%) zerosZeros
TRAILARR has 104199 (57.9%) zerosZeros
TRAILBRR has 60035 (33.4%) zerosZeros
UDSVERFN has 34798 (19.3%) zerosZeros
UDSVERNF has 47098 (26.2%) zerosZeros
UDSVERLR has 34644 (19.2%) zerosZeros
UDSVERLN has 49538 (27.5%) zerosZeros
UDSVERTE has 23032 (12.8%) zerosZeros
UDSVERTI has 39084 (21.7%) zerosZeros
COGSTAT has 28683 (15.9%) zerosZeros
NACCC1 has 103303 (57.4%) zerosZeros
MOCACOMP has 2802 (1.6%) zerosZeros
MOCAVIS has 52337 (29.1%) zerosZeros
MOCAHEAR has 58835 (32.7%) zerosZeros
MOCATRAI has 14688 (8.2%) zerosZeros
MOCACUBE has 23106 (12.8%) zerosZeros
MOCACLOC has 2054 (1.1%) zerosZeros
MOCACLON has 8810 (4.9%) zerosZeros
MOCACLOH has 19014 (10.6%) zerosZeros
MOCADIGI has 2140 (1.2%) zerosZeros
MOCALETT has 7323 (4.1%) zerosZeros
MOCASER7 has 4217 (2.3%) zerosZeros
MOCAREPE has 7764 (4.3%) zerosZeros
MOCAFLUE has 16223 (9.0%) zerosZeros
MOCAABST has 6081 (3.4%) zerosZeros
MOCARECN has 15108 (8.4%) zerosZeros
MOCARECC has 15160 (8.4%) zerosZeros
MOCARECR has 4252 (2.4%) zerosZeros
MOCAORDT has 11018 (6.1%) zerosZeros
MOCAORMO has 4703 (2.6%) zerosZeros
MOCAORYR has 5182 (2.9%) zerosZeros
MOCAORDY has 6414 (3.6%) zerosZeros
MOCAORPL has 6757 (3.8%) zerosZeros
MOCAORCT has 2460 (1.4%) zerosZeros
CRAFTDVR has 5580 (3.1%) zerosZeros
CRAFTDRE has 5260 (2.9%) zerosZeros
CRAFTCUE has 49333 (27.4%) zerosZeros
MINTSCNG has 23767 (13.2%) zerosZeros
MINTSCNC has 16946 (9.4%) zerosZeros
MINTPCNG has 14178 (7.9%) zerosZeros
MINTPCNC has 15303 (8.5%) zerosZeros
NACCC2 has 61205 (34.0%) zerosZeros
OTRLARR has 4413 (2.5%) zerosZeros
OTRLBRR has 2836 (1.6%) zerosZeros
NORMCOG has 93979 (52.2%) zerosZeros
DEMENTED has 125309 (69.6%) zerosZeros
AMNDEM has 5692 (3.2%) zerosZeros
PCA has 19969 (11.1%) zerosZeros
NACCPPA has 75108 (41.7%) zerosZeros
NACCBVFT has 50782 (28.2%) zerosZeros
NACCLBDS has 50915 (28.3%) zerosZeros
NAMNDEM has 18502 (10.3%) zerosZeros
NACCMCIL has 23989 (13.3%) zerosZeros
NACCMCIA has 27577 (15.3%) zerosZeros
NACCMCIE has 18510 (10.3%) zerosZeros
NACCMCIV has 28800 (16.0%) zerosZeros
NACCMCII has 123859 (68.8%) zerosZeros
IMPNOMCI has 172068 (95.6%) zerosZeros
AMYLPET has 4259 (2.4%) zerosZeros
AMYLCSF has 2388 (1.3%) zerosZeros
FDGAD has 2308 (1.3%) zerosZeros
HIPPATR has 17772 (9.9%) zerosZeros
CSFTAU has 2383 (1.3%) zerosZeros
FDGFTLD has 2541 (1.4%) zerosZeros
TPETFTLD has 1813 (1.0%) zerosZeros
MRFTLD has 25490 (14.2%) zerosZeros
OTHBIOM has 74224 (41.2%) zerosZeros
IMAGLINF has 30917 (17.2%) zerosZeros
IMAGLAC has 28806 (16.0%) zerosZeros
IMAGMACH has 30527 (17.0%) zerosZeros
IMAGMICH has 22826 (12.7%) zerosZeros
IMAGMWMH has 27951 (15.5%) zerosZeros
IMAGEWMH has 31062 (17.3%) zerosZeros
OTHMUT has 2504 (1.4%) zerosZeros
NACCALZD has 30068 (16.7%) zerosZeros
PROBAD has 28049 (15.6%) zerosZeros
POSSAD has 49094 (27.3%) zerosZeros
NACCLBDE has 86939 (48.3%) zerosZeros
PARK has 176440 (98.0%) zerosZeros
MSA has 76323 (42.4%) zerosZeros
PSP has 179262 (99.6%) zerosZeros
CORT has 178992 (99.4%) zerosZeros
FTLDMO has 76235 (42.4%) zerosZeros
FTLDNOS has 73563 (40.9%) zerosZeros
FTD has 55852 (31.0%) zerosZeros
PPAPH has 56403 (31.3%) zerosZeros
CVD has 70642 (39.2%) zerosZeros
PREVSTK has 74816 (41.6%) zerosZeros
INFNETW has 2961 (1.6%) zerosZeros
INFWMH has 3773 (2.1%) zerosZeros
VASC has 56981 (31.7%) zerosZeros
VASCPS has 41879 (23.3%) zerosZeros
STROKE has 99365 (55.2%) zerosZeros
ESSTREM has 75021 (41.7%) zerosZeros
DOWNS has 179908 (99.9%) zerosZeros
HUNT has 179992 (> 99.9%) zerosZeros
PRION has 179811 (99.9%) zerosZeros
BRNINJ has 177075 (98.4%) zerosZeros
HYCEPH has 179392 (99.7%) zerosZeros
EPILEP has 76140 (42.3%) zerosZeros
NEOP has 179733 (99.8%) zerosZeros
HIV has 76319 (42.4%) zerosZeros
OTHCOG has 74006 (41.1%) zerosZeros
DEP has 151540 (84.2%) zerosZeros
DEPTREAT has 2471 (1.4%) zerosZeros
BIPOLDX has 75951 (42.2%) zerosZeros
SCHIZOP has 76270 (42.4%) zerosZeros
ANXIET has 72544 (40.3%) zerosZeros
DELIR has 76311 (42.4%) zerosZeros
PTSDDX has 75997 (42.2%) zerosZeros
OTHPSY has 177793 (98.8%) zerosZeros
ALCDEM has 134213 (74.6%) zerosZeros
IMPSUB has 76251 (42.4%) zerosZeros
DYSILL has 176873 (98.3%) zerosZeros
MEDS has 178446 (99.1%) zerosZeros
DEMUN has 56114 (31.2%) zerosZeros
COGOTH has 168983 (93.9%) zerosZeros
COGOTH2 has 155399 (86.3%) zerosZeros
COGOTH3 has 156191 (86.8%) zerosZeros
NACCADMU has 179523 (99.7%) zerosZeros
NACCFTDM has 179209 (99.6%) zerosZeros
CANCER has 62668 (34.8%) zerosZeros
DIABET has 65823 (36.6%) zerosZeros
MYOINF has 73436 (40.8%) zerosZeros
CONGHRT has 74246 (41.2%) zerosZeros
AFIBRILL has 69614 (38.7%) zerosZeros
HYPERT has 38599 (21.4%) zerosZeros
ANGINA has 73646 (40.9%) zerosZeros
HYPCHOL has 35025 (19.5%) zerosZeros
VB12DEF has 68849 (38.2%) zerosZeros
THYDIS has 60676 (33.7%) zerosZeros
ARTH has 32392 (18.0%) zerosZeros
ARTUPEX has 17149 (9.5%) zerosZeros
ARTLOEX has 14491 (8.1%) zerosZeros
ARTSPIN has 24648 (13.7%) zerosZeros
ARTUNKN has 41799 (23.2%) zerosZeros
URINEINC has 61246 (34.0%) zerosZeros
BOWLINC has 70794 (39.3%) zerosZeros
SLEEPAP has 60182 (33.4%) zerosZeros
REMDIS has 71284 (39.6%) zerosZeros
HYPOSOM has 64405 (35.8%) zerosZeros
SLEEPOTH has 72767 (40.4%) zerosZeros
ANGIOCP has 74580 (41.4%) zerosZeros
ANGIOPCI has 72845 (40.5%) zerosZeros
PACEMAKE has 73703 (40.9%) zerosZeros
HVALVE has 74799 (41.6%) zerosZeros
ANTIENC has 74180 (41.2%) zerosZeros
OTHCOND has 53209 (29.6%) zerosZeros
NACCNORM has 118229 (65.7%) zerosZeros
NACCIDEM has 108387 (60.2%) zerosZeros
NACCAAAS has 161600 (89.8%) zerosZeros
NACCAANX has 153381 (85.2%) zerosZeros
NACCAC has 104318 (58.0%) zerosZeros
NACCACEI has 147391 (81.9%) zerosZeros
NACCADEP has 124954 (69.4%) zerosZeros
NACCADMD has 133089 (73.9%) zerosZeros
NACCAHTN has 79220 (44.0%) zerosZeros
NACCAMD has 7055 (3.9%) zerosZeros
NACCANGI has 156309 (86.8%) zerosZeros
NACCAPSY has 169620 (94.2%) zerosZeros
NACCBETA has 140518 (78.1%) zerosZeros
NACCCCBS has 148888 (82.7%) zerosZeros
NACCDBMD has 159030 (88.3%) zerosZeros
NACCDIUR has 149774 (83.2%) zerosZeros
NACCEMD has 171598 (95.3%) zerosZeros
NACCEPMD has 176860 (98.3%) zerosZeros
NACCHTNC has 169819 (94.3%) zerosZeros
NACCLIPL has 98090 (54.5%) zerosZeros
NACCNSD has 102286 (56.8%) zerosZeros
NACCPDMD has 169047 (93.9%) zerosZeros
NACCVASD has 173998 (96.7%) zerosZeros
NACCDIED has 127509 (70.8%) zerosZeros
NACCAUTP has 20504 (11.4%) zerosZeros
NACCACTV has 101532 (56.4%) zerosZeros
NACCNOVS has 68482 (38.0%) zerosZeros
NACCNURP has 178969 (99.4%) zerosZeros
NACCFTD has 172429 (95.8%) zerosZeros
NACCPAFF has 176283 (97.9%) zerosZeros
NACCLBDM has 178683 (99.3%) zerosZeros
NACCACSF has 167039 (92.8%) zerosZeros
NACCPCSF has 168199 (93.4%) zerosZeros
NACCTCSF has 167382 (93.0%) zerosZeros
NACCMRSA has 141367 (78.5%) zerosZeros
NACCNMRI has 141367 (78.5%) zerosZeros
NACCAPSA has 178486 (99.2%) zerosZeros
NACCNAPA has 178486 (99.2%) zerosZeros
ADGCGWAS has 75627 (42.0%) zerosZeros
ADGCEXOM has 135479 (75.3%) zerosZeros
NGDSGWAS has 134696 (74.8%) zerosZeros
NGDSEXOM has 148817 (82.7%) zerosZeros
NGDSWGS has 147450 (81.9%) zerosZeros
NGDSWES has 163577 (90.9%) zerosZeros
NACCNCRD has 56472 (31.4%) zerosZeros
NACCNE4S has 95764 (53.2%) zerosZeros
NACCBRNN has 31725 (17.6%) zerosZeros
NPGRCCA has 3587 (2.0%) zerosZeros
NPGRLA has 17082 (9.5%) zerosZeros
NPGRHA has 6052 (3.4%) zerosZeros
NPGRSNH has 12051 (6.7%) zerosZeros
NPGRLCH has 8617 (4.8%) zerosZeros
NACCAVAS has 6305 (3.5%) zerosZeros
NPHISMB has 14134 (7.9%) zerosZeros
NPHISG has 21108 (11.7%) zerosZeros
NPHISSS has 22380 (12.4%) zerosZeros
NPHIST has 18385 (10.2%) zerosZeros
NPHISO has 20228 (11.2%) zerosZeros
NPTHAL has 3053 (1.7%) zerosZeros
NACCNEUR has 7686 (4.3%) zerosZeros
NPADNC has 2984 (1.7%) zerosZeros
NACCDIFF has 4374 (2.4%) zerosZeros
NACCAMY has 12579 (7.0%) zerosZeros
NPINF has 19642 (10.9%) zerosZeros
NPINF1A has 17608 (9.8%) zerosZeros
NPINF2A has 18351 (10.2%) zerosZeros
NPINF3A has 17591 (9.8%) zerosZeros
NPINF4A has 18310 (10.2%) zerosZeros
NACCINF has 26145 (14.5%) zerosZeros
NPHEMO has 22487 (12.5%) zerosZeros
NPHEMO1 has 18138 (10.1%) zerosZeros
NPHEMO2 has 18312 (10.2%) zerosZeros
NPHEMO3 has 18401 (10.2%) zerosZeros
NPOLD has 17451 (9.7%) zerosZeros
NPOLD1 has 16782 (9.3%) zerosZeros
NPOLD2 has 18216 (10.1%) zerosZeros
NPOLD3 has 16490 (9.2%) zerosZeros
NPOLD4 has 18175 (10.1%) zerosZeros
NACCMICR has 24559 (13.6%) zerosZeros
NPOLDD has 21797 (12.1%) zerosZeros
NPOLDD1 has 17758 (9.9%) zerosZeros
NPOLDD2 has 17776 (9.9%) zerosZeros
NPOLDD3 has 17740 (9.9%) zerosZeros
NPOLDD4 has 17981 (10.0%) zerosZeros
NACCHEM has 29381 (16.3%) zerosZeros
NACCARTE has 4961 (2.8%) zerosZeros
NPWMR has 8343 (4.6%) zerosZeros
NPPATH has 15873 (8.8%) zerosZeros
NACCNEC has 27544 (15.3%) zerosZeros
NPPATH2 has 18534 (10.3%) zerosZeros
NPPATH3 has 18560 (10.3%) zerosZeros
NPPATH4 has 18230 (10.1%) zerosZeros
NPPATH5 has 18832 (10.5%) zerosZeros
NPPATH6 has 19002 (10.6%) zerosZeros
NPPATH7 has 19188 (10.7%) zerosZeros
NPPATH8 has 19493 (10.8%) zerosZeros
NPPATH9 has 19355 (10.8%) zerosZeros
NPPATH10 has 19032 (10.6%) zerosZeros
NPPATH11 has 15792 (8.8%) zerosZeros
NPPATHO has 21896 (12.2%) zerosZeros
NACCLEWY has 20631 (11.5%) zerosZeros
NPLBOD has 14701 (8.2%) zerosZeros
NPNLOSS has 9099 (5.1%) zerosZeros
NPHIPSCL has 19319 (10.7%) zerosZeros
NPFTDTAU has 19249 (10.7%) zerosZeros
NACCPICK has 27149 (15.1%) zerosZeros
NPFTDT2 has 18393 (10.2%) zerosZeros
NACCCBD has 27107 (15.1%) zerosZeros
NACCPROG has 26592 (14.8%) zerosZeros
NPFTDT5 has 17744 (9.9%) zerosZeros
NPFTDT6 has 18008 (10.0%) zerosZeros
NPFTDT7 has 18915 (10.5%) zerosZeros
NPFTDT8 has 19019 (10.6%) zerosZeros
NPFTDT9 has 18520 (10.3%) zerosZeros
NPFTDT10 has 17951 (10.0%) zerosZeros
NPFTDTDP has 18505 (10.3%) zerosZeros
NPALSMND has 21559 (12.0%) zerosZeros
NPOFTD has 21123 (11.7%) zerosZeros
NPOFTD1 has 16989 (9.4%) zerosZeros
NPOFTD2 has 17007 (9.4%) zerosZeros
NPOFTD3 has 17015 (9.5%) zerosZeros
NPOFTD4 has 16992 (9.4%) zerosZeros
NPOFTD5 has 17006 (9.4%) zerosZeros
NPTDPA has 4594 (2.6%) zerosZeros
NPTDPB has 10449 (5.8%) zerosZeros
NPTDPC has 12187 (6.8%) zerosZeros
NPTDPD has 11021 (6.1%) zerosZeros
NPTDPE has 14215 (7.9%) zerosZeros
NPPDXA has 22281 (12.4%) zerosZeros
NPPDXB has 23048 (12.8%) zerosZeros
NACCPRIO has 30824 (17.1%) zerosZeros
NPPDXD has 22552 (12.5%) zerosZeros
NPPDXE has 22906 (12.7%) zerosZeros
NPPDXF has 22838 (12.7%) zerosZeros
NPPDXG has 23077 (12.8%) zerosZeros
NPPDXH has 23071 (12.8%) zerosZeros
NPPDXI has 22952 (12.8%) zerosZeros
NPPDXJ has 22970 (12.8%) zerosZeros
NPPDXK has 22795 (12.7%) zerosZeros
NPPDXL has 22917 (12.7%) zerosZeros
NPPDXM has 22831 (12.7%) zerosZeros
NPPDXN has 22929 (12.7%) zerosZeros
NPPDXP has 10515 (5.8%) zerosZeros
NPPDXQ has 10261 (5.7%) zerosZeros
NACCOTHP has 27679 (15.4%) zerosZeros
NACCBNKF has 5911 (3.3%) zerosZeros
NPBNKB has 3519 (2.0%) zerosZeros
NACCFORM has 2860 (1.6%) zerosZeros
NACCCSFP has 21032 (11.7%) zerosZeros
NPBNKF has 21051 (11.7%) zerosZeros
NPFAUT has 22504 (12.5%) zerosZeros
NPARTAG has 2441 (1.4%) zerosZeros

Reproduction

Analysis started2023-09-07 12:58:37.704679
Analysis finished2023-09-07 12:58:47.496555
Duration9.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NACCID
Text

Distinct48605
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:47.887314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1800040
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15577 ?
Unique (%)8.7%

Sample

1st rowNACC002909
2nd rowNACC004352
3rd rowNACC004687
4th rowNACC008514
5th rowNACC013667
ValueCountFrequency (%)
nacc621217 18
 
< 0.1%
nacc261581 18
 
< 0.1%
nacc874179 18
 
< 0.1%
nacc668158 18
 
< 0.1%
nacc263960 18
 
< 0.1%
nacc307523 18
 
< 0.1%
nacc227022 18
 
< 0.1%
nacc285855 18
 
< 0.1%
nacc303378 18
 
< 0.1%
nacc276815 18
 
< 0.1%
Other values (48595) 179824
99.9%
2023-09-07T18:28:48.332916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 360008
20.0%
N 180004
10.0%
A 180004
10.0%
2 108677
 
6.0%
6 108648
 
6.0%
7 108435
 
6.0%
9 108136
 
6.0%
3 108100
 
6.0%
8 107955
 
6.0%
5 107739
 
6.0%
Other values (3) 322334
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1080024
60.0%
Uppercase Letter 720016
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 108677
10.1%
6 108648
10.1%
7 108435
10.0%
9 108136
10.0%
3 108100
10.0%
8 107955
10.0%
5 107739
10.0%
1 107732
10.0%
0 107657
10.0%
4 106945
9.9%
Uppercase Letter
ValueCountFrequency (%)
C 360008
50.0%
N 180004
25.0%
A 180004
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1080024
60.0%
Latin 720016
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 108677
10.1%
6 108648
10.1%
7 108435
10.0%
9 108136
10.0%
3 108100
10.0%
8 107955
10.0%
5 107739
10.0%
1 107732
10.0%
0 107657
10.0%
4 106945
9.9%
Latin
ValueCountFrequency (%)
C 360008
50.0%
N 180004
25.0%
A 180004
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 360008
20.0%
N 180004
10.0%
A 180004
10.0%
2 108677
 
6.0%
6 108648
 
6.0%
7 108435
 
6.0%
9 108136
 
6.0%
3 108100
 
6.0%
8 107955
 
6.0%
5 107739
 
6.0%
Other values (3) 322334
17.9%

NACCADC
Real number (ℝ)

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5055.120108
Minimum186
Maximum9661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:48.496439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile354
Q12289
median5310
Q38361
95-th percentile9637
Maximum9661
Range9475
Interquartile range (IQR)6072

Descriptive statistics

Standard deviation2958.375574
Coefficient of variation (CV)0.5852235972
Kurtosis-1.25121879
Mean5055.120108
Median Absolute Deviation (MAD)3044
Skewness-0.07993523424
Sum909941840
Variance8751986.039
MonotonicityIncreasing
2023-09-07T18:28:48.645467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8646 10173
 
5.7%
8658 9577
 
5.3%
4967 9120
 
5.1%
2096 8681
 
4.8%
5452 8479
 
4.7%
289 7512
 
4.2%
2289 7246
 
4.0%
6061 7104
 
3.9%
4347 6872
 
3.8%
5783 6857
 
3.8%
Other values (36) 98383
54.7%
ValueCountFrequency (%)
186 322
 
0.2%
238 96
 
0.1%
289 7512
4.2%
354 5665
3.1%
490 3693
2.1%
ValueCountFrequency (%)
9661 5378
3.0%
9637 3883
2.2%
8974 3961
2.2%
8734 128
 
0.1%
8683 5494
3.1%

PACKET
Text

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:48.733981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.002527722
Min length1

Characters and Unicode

Total characters180459
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI
ValueCountFrequency (%)
f 110254
61.3%
i 48150
26.7%
t 21145
 
11.7%
it 455
 
0.3%
2023-09-07T18:28:48.943020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 110254
61.1%
I 48605
26.9%
T 21600
 
12.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 180459
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 110254
61.1%
I 48605
26.9%
T 21600
 
12.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 180459
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 110254
61.1%
I 48605
26.9%
T 21600
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 110254
61.1%
I 48605
26.9%
T 21600
 
12.0%

FORMVER
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.301041088
Minimum1
Maximum3.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:49.060536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3.2
Range2.2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6988151078
Coefficient of variation (CV)0.3036951889
Kurtosis-0.8759614186
Mean2.301041088
Median Absolute Deviation (MAD)1
Skewness-0.4134688408
Sum414196.6
Variance0.4883425548
MonotonicityNot monotonic
2023-09-07T18:28:49.166060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 79714
44.3%
3 67424
37.5%
1 23943
 
13.3%
3.2 8923
 
5.0%
ValueCountFrequency (%)
1 23943
 
13.3%
2 79714
44.3%
3 67424
37.5%
3.2 8923
 
5.0%
ValueCountFrequency (%)
3.2 8923
 
5.0%
3 67424
37.5%
2 79714
44.3%
1 23943
 
13.3%

VISITMO
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.380402658
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:49.274576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.400484948
Coefficient of variation (CV)0.5329577348
Kurtosis-1.222813319
Mean6.380402658
Median Absolute Deviation (MAD)3
Skewness0.02788792712
Sum1148498
Variance11.56329788
MonotonicityNot monotonic
2023-09-07T18:28:49.395095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 16788
9.3%
10 16732
9.3%
4 16006
8.9%
5 15598
8.7%
8 15160
8.4%
9 14930
8.3%
1 14886
8.3%
6 14863
8.3%
11 14836
8.2%
2 14792
8.2%
Other values (2) 25413
14.1%
ValueCountFrequency (%)
1 14886
8.3%
2 14792
8.2%
3 16788
9.3%
4 16006
8.9%
5 15598
8.7%
ValueCountFrequency (%)
12 11683
6.5%
11 14836
8.2%
10 16732
9.3%
9 14930
8.3%
8 15160
8.4%

VISITDAY
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.42612386
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:49.521125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.603714483
Coefficient of variation (CV)0.5577366394
Kurtosis-1.139736278
Mean15.42612386
Median Absolute Deviation (MAD)7
Skewness0.0604848289
Sum2776764
Variance74.02390291
MonotonicityNot monotonic
2023-09-07T18:28:49.655338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9 6477
 
3.6%
10 6473
 
3.6%
12 6407
 
3.6%
8 6321
 
3.5%
11 6293
 
3.5%
7 6287
 
3.5%
13 6280
 
3.5%
14 6252
 
3.5%
19 6210
 
3.4%
6 6205
 
3.4%
Other values (21) 116799
64.9%
ValueCountFrequency (%)
1 5619
3.1%
2 5721
3.2%
3 5780
3.2%
4 5638
3.1%
5 5837
3.2%
ValueCountFrequency (%)
31 2949
1.6%
30 4961
2.8%
29 5061
2.8%
28 5414
3.0%
27 5392
3.0%

VISITYR
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.659735
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:49.780855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2006
Q12009
median2013
Q32018
95-th percentile2022
Maximum2023
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.898796981
Coefficient of variation (CV)0.002432782905
Kurtosis-1.142398485
Mean2013.659735
Median Absolute Deviation (MAD)4
Skewness0.09685412096
Sum362466807
Variance23.99821186
MonotonicityNot monotonic
2023-09-07T18:28:49.909379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2009 11865
 
6.6%
2010 11568
 
6.4%
2008 11514
 
6.4%
2012 11413
 
6.3%
2013 11203
 
6.2%
2019 10958
 
6.1%
2007 10919
 
6.1%
2011 10835
 
6.0%
2014 10818
 
6.0%
2018 10515
 
5.8%
Other values (9) 68396
38.0%
ValueCountFrequency (%)
2005 1971
 
1.1%
2006 9496
5.3%
2007 10919
6.1%
2008 11514
6.4%
2009 11865
6.6%
ValueCountFrequency (%)
2023 1692
 
0.9%
2022 8755
4.9%
2021 8470
4.7%
2020 8137
4.5%
2019 10958
6.1%

NACCVNUM
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.744244572
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:50.038282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile10
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.978340492
Coefficient of variation (CV)0.7954449649
Kurtosis1.687611837
Mean3.744244572
Median Absolute Deviation (MAD)2
Skewness1.384870564
Sum673979
Variance8.870512088
MonotonicityNot monotonic
2023-09-07T18:28:50.156800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 48605
27.0%
2 33028
18.3%
3 24954
13.9%
4 18923
 
10.5%
5 14118
 
7.8%
6 10660
 
5.9%
7 8055
 
4.5%
8 6085
 
3.4%
9 4675
 
2.6%
10 3535
 
2.0%
Other values (8) 7366
 
4.1%
ValueCountFrequency (%)
1 48605
27.0%
2 33028
18.3%
3 24954
13.9%
4 18923
 
10.5%
5 14118
 
7.8%
ValueCountFrequency (%)
18 17
 
< 0.1%
17 92
 
0.1%
16 256
 
0.1%
15 485
0.3%
14 814
0.5%

NACCAVST
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.488489145
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:50.275316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.041825867
Coefficient of variation (CV)0.6229224981
Kurtosis-0.4700274169
Mean6.488489145
Median Absolute Deviation (MAD)3
Skewness0.6111035651
Sum1167954
Variance16.33635634
MonotonicityNot monotonic
2023-09-07T18:28:50.394840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 19220
10.7%
3 18093
10.1%
5 17290
9.6%
2 16148
9.0%
6 15630
8.7%
1 15577
8.7%
7 13790
7.7%
8 11280
 
6.3%
9 10260
 
5.7%
10 9320
 
5.2%
Other values (8) 33396
18.6%
ValueCountFrequency (%)
1 15577
8.7%
2 16148
9.0%
3 18093
10.1%
4 19220
10.7%
5 17290
9.6%
ValueCountFrequency (%)
18 306
 
0.2%
17 1275
 
0.7%
16 2624
1.5%
15 3435
1.9%
14 4606
2.6%

NACCNVST
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.668279594
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:50.513873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile13
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.806790838
Coefficient of variation (CV)0.6715954595
Kurtosis-0.295489383
Mean5.668279594
Median Absolute Deviation (MAD)3
Skewness0.7453581774
Sum1020313
Variance14.49165649
MonotonicityNot monotonic
2023-09-07T18:28:50.638433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 22374
12.4%
3 22036
12.2%
1 21439
11.9%
4 19731
11.0%
5 16045
8.9%
6 13953
7.8%
7 11947
6.6%
8 10252
5.7%
9 9740
 
5.4%
10 7826
 
4.3%
Other values (8) 24661
13.7%
ValueCountFrequency (%)
1 21439
11.9%
2 22374
12.4%
3 22036
12.2%
4 19731
11.0%
5 16045
8.9%
ValueCountFrequency (%)
18 126
 
0.1%
17 343
 
0.2%
16 1296
0.7%
15 1871
1.0%
14 3215
1.8%

NACCDAYS
Real number (ℝ)

ZEROS 

Distinct5096
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2350.439329
Minimum0
Maximum6453
Zeros15577
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:50.772951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11053
median2039
Q33578
95-th percentile5559
Maximum6453
Range6453
Interquartile range (IQR)2525

Descriptive statistics

Standard deviation1676.503171
Coefficient of variation (CV)0.7132722595
Kurtosis-0.7154218726
Mean2350.439329
Median Absolute Deviation (MAD)1243
Skewness0.4977957681
Sum423088481
Variance2810662.883
MonotonicityNot monotonic
2023-09-07T18:28:50.924991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15577
 
8.7%
364 462
 
0.3%
371 324
 
0.2%
735 275
 
0.2%
378 260
 
0.1%
392 232
 
0.1%
385 226
 
0.1%
1106 221
 
0.1%
1827 220
 
0.1%
357 208
 
0.1%
Other values (5086) 161999
90.0%
ValueCountFrequency (%)
0 15577
8.7%
28 2
 
< 0.1%
51 2
 
< 0.1%
119 2
 
< 0.1%
133 2
 
< 0.1%
ValueCountFrequency (%)
6453 16
< 0.1%
6441 15
< 0.1%
6437 16
< 0.1%
6384 15
< 0.1%
6360 17
< 0.1%

NACCFDYS
Real number (ℝ)

ZEROS 

Distinct5714
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1164.145591
Minimum0
Maximum6453
Zeros48605
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:51.074507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median775
Q31815
95-th percentile3764
Maximum6453
Range6453
Interquartile range (IQR)1815

Descriptive statistics

Standard deviation1245.541789
Coefficient of variation (CV)1.069919259
Kurtosis1.341892235
Mean1164.145591
Median Absolute Deviation (MAD)775
Skewness1.305731041
Sum209550863
Variance1551374.347
MonotonicityNot monotonic
2023-09-07T18:28:51.223549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48605
 
27.0%
364 1222
 
0.7%
371 833
 
0.5%
378 601
 
0.3%
385 524
 
0.3%
357 508
 
0.3%
365 502
 
0.3%
728 490
 
0.3%
392 489
 
0.3%
735 465
 
0.3%
Other values (5704) 125765
69.9%
ValueCountFrequency (%)
0 48605
27.0%
5 2
 
< 0.1%
28 1
 
< 0.1%
51 1
 
< 0.1%
53 1
 
< 0.1%
ValueCountFrequency (%)
6453 1
< 0.1%
6441 1
< 0.1%
6437 1
< 0.1%
6384 1
< 0.1%
6360 1
< 0.1%

NACCCORE
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:51.343067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum180004
Variance0
MonotonicityIncreasing
2023-09-07T18:28:51.450587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 180004
100.0%
ValueCountFrequency (%)
1 180004
100.0%
ValueCountFrequency (%)
1 180004
100.0%

NACCREAS
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.486011422
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:51.555109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.346349671
Coefficient of variation (CV)0.9060156951
Kurtosis12.22507371
Mean1.486011422
Median Absolute Deviation (MAD)0
Skewness3.608775357
Sum267488
Variance1.812657438
MonotonicityNot monotonic
2023-09-07T18:28:51.671627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 138886
77.2%
2 31934
 
17.7%
7 8961
 
5.0%
9 223
 
0.1%
ValueCountFrequency (%)
1 138886
77.2%
2 31934
 
17.7%
7 8961
 
5.0%
9 223
 
0.1%
ValueCountFrequency (%)
9 223
 
0.1%
7 8961
 
5.0%
2 31934
 
17.7%
1 138886
77.2%

NACCREFR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.54679896
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:51.787148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.071928869
Coefficient of variation (CV)0.866113051
Kurtosis-1.303211191
Mean3.54679896
Median Absolute Deviation (MAD)1
Skewness0.7739780252
Sum638438
Variance9.436746974
MonotonicityNot monotonic
2023-09-07T18:28:52.088693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 63572
35.3%
1 60712
33.7%
8 50898
28.3%
9 4822
 
2.7%
ValueCountFrequency (%)
1 60712
33.7%
2 63572
35.3%
8 50898
28.3%
9 4822
 
2.7%
ValueCountFrequency (%)
9 4822
 
2.7%
8 50898
28.3%
2 63572
35.3%
1 60712
33.7%

BIRTHMO
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.532021511
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:52.209224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.456527308
Coefficient of variation (CV)0.5291665531
Kurtosis-1.218528522
Mean6.532021511
Median Absolute Deviation (MAD)3
Skewness-0.02946075907
Sum1175790
Variance11.94758103
MonotonicityNot monotonic
2023-09-07T18:28:52.328300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 16202
9.0%
1 15598
8.7%
3 15543
8.6%
10 15493
8.6%
9 15364
8.5%
7 15165
8.4%
12 14935
8.3%
11 14872
8.3%
4 14401
8.0%
5 14384
8.0%
Other values (2) 28047
15.6%
ValueCountFrequency (%)
1 15598
8.7%
2 14008
7.8%
3 15543
8.6%
4 14401
8.0%
5 14384
8.0%
ValueCountFrequency (%)
12 14935
8.3%
11 14872
8.3%
10 15493
8.6%
9 15364
8.5%
8 16202
9.0%

BIRTHYR
Real number (ℝ)

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1938.667246
Minimum1896
Maximum2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:52.468819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1896
5-th percentile1921
Q11930
median1938
Q31946
95-th percentile1958
Maximum2003
Range107
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.47526688
Coefficient of variation (CV)0.0059191524
Kurtosis0.5997472742
Mean1938.667246
Median Absolute Deviation (MAD)8
Skewness0.3827103591
Sum348967859
Variance131.68175
MonotonicityNot monotonic
2023-09-07T18:28:52.626365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1942 6597
 
3.7%
1939 6301
 
3.5%
1941 6096
 
3.4%
1938 6015
 
3.3%
1940 5870
 
3.3%
1943 5804
 
3.2%
1932 5662
 
3.1%
1935 5651
 
3.1%
1936 5548
 
3.1%
1934 5547
 
3.1%
Other values (93) 120913
67.2%
ValueCountFrequency (%)
1896 3
< 0.1%
1901 6
< 0.1%
1902 7
< 0.1%
1903 4
< 0.1%
1904 6
< 0.1%
ValueCountFrequency (%)
2003 1
 
< 0.1%
2002 3
 
< 0.1%
2001 2
 
< 0.1%
1999 8
< 0.1%
1998 9
< 0.1%

SEX
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.579342681
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:52.761896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4936659729
Coefficient of variation (CV)0.3125768579
Kurtosis-1.896693317
Mean1.579342681
Median Absolute Deviation (MAD)0
Skewness-0.3214463512
Sum284288
Variance0.2437060928
MonotonicityNot monotonic
2023-09-07T18:28:52.873416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 104284
57.9%
1 75720
42.1%
ValueCountFrequency (%)
1 75720
42.1%
2 104284
57.9%
ValueCountFrequency (%)
2 104284
57.9%
1 75720
42.1%

HISPANIC
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1001755517
Minimum0
Maximum9
Zeros167044
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:52.979966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5862906145
Coefficient of variation (CV)5.852631753
Kurtosis184.4049762
Mean0.1001755517
Median Absolute Deviation (MAD)0
Skewness12.5631905
Sum18032
Variance0.3437366847
MonotonicityNot monotonic
2023-09-07T18:28:53.096529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 167044
92.8%
1 12326
 
6.8%
9 634
 
0.4%
ValueCountFrequency (%)
0 167044
92.8%
1 12326
 
6.8%
9 634
 
0.4%
ValueCountFrequency (%)
9 634
 
0.4%
1 12326
 
6.8%
0 167044
92.8%

HISPOR
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.47378947
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:53.213552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.94794221
Coefficient of variation (CV)0.2539951461
Kurtosis10.51410883
Mean82.47378947
Median Absolute Deviation (MAD)0
Skewness-3.528854078
Sum14845612
Variance438.8162827
MonotonicityNot monotonic
2023-09-07T18:28:53.340065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
88 167678
93.2%
1 4567
 
2.5%
2 2107
 
1.2%
6 1683
 
0.9%
3 1275
 
0.7%
4 1076
 
0.6%
5 802
 
0.4%
50 446
 
0.2%
99 370
 
0.2%
ValueCountFrequency (%)
1 4567
2.5%
2 2107
1.2%
3 1275
 
0.7%
4 1076
 
0.6%
5 802
 
0.4%
ValueCountFrequency (%)
99 370
 
0.2%
88 167678
93.2%
50 446
 
0.2%
6 1683
 
0.9%
5 802
 
0.4%

RACE
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.232422613
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:53.469591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.163717561
Coefficient of variation (CV)3.656887148
Kurtosis90.38129401
Mean2.232422613
Median Absolute Deviation (MAD)0
Skewness9.104489841
Sum401845
Variance66.64628442
MonotonicityNot monotonic
2023-09-07T18:28:53.585102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 147814
82.1%
2 23508
 
13.1%
5 4526
 
2.5%
50 2180
 
1.2%
3 1109
 
0.6%
99 722
 
0.4%
4 145
 
0.1%
ValueCountFrequency (%)
1 147814
82.1%
2 23508
 
13.1%
3 1109
 
0.6%
4 145
 
0.1%
5 4526
 
2.5%
ValueCountFrequency (%)
99 722
 
0.4%
50 2180
1.2%
5 4526
2.5%
4 145
 
0.1%
3 1109
 
0.6%

RACESEC
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.90030777
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:53.700627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.44053985
Coefficient of variation (CV)0.1564667252
Kurtosis33.98210346
Mean85.90030777
Median Absolute Deviation (MAD)0
Skewness-5.963091944
Sum15462399
Variance180.6481115
MonotonicityNot monotonic
2023-09-07T18:28:53.816110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 173832
96.6%
3 2819
 
1.6%
99 1414
 
0.8%
1 1215
 
0.7%
50 278
 
0.2%
5 215
 
0.1%
2 187
 
0.1%
4 44
 
< 0.1%
ValueCountFrequency (%)
1 1215
0.7%
2 187
 
0.1%
3 2819
1.6%
4 44
 
< 0.1%
5 215
 
0.1%
ValueCountFrequency (%)
99 1414
 
0.8%
88 173832
96.6%
50 278
 
0.2%
5 215
 
0.1%
4 44
 
< 0.1%

RACETER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.59068687
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:53.929642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.476598382
Coefficient of variation (CV)0.07394163253
Kurtosis166.2741933
Mean87.59068687
Median Absolute Deviation (MAD)0
Skewness-12.7931863
Sum15766674
Variance41.9463266
MonotonicityNot monotonic
2023-09-07T18:28:54.046143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 177746
98.7%
99 1226
 
0.7%
1 454
 
0.3%
3 393
 
0.2%
2 98
 
0.1%
5 49
 
< 0.1%
50 31
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
1 454
0.3%
2 98
 
0.1%
3 393
0.2%
4 7
 
< 0.1%
5 49
 
< 0.1%
ValueCountFrequency (%)
99 1226
 
0.7%
88 177746
98.7%
50 31
 
< 0.1%
5 49
 
< 0.1%
4 7
 
< 0.1%

PRIMLANG
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.179073798
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:54.154659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9341636699
Coefficient of variation (CV)0.7922860055
Kurtosis45.46987081
Mean1.179073798
Median Absolute Deviation (MAD)0
Skewness6.65414464
Sum212238
Variance0.8726617622
MonotonicityNot monotonic
2023-09-07T18:28:54.276174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 167637
93.1%
2 7962
 
4.4%
8 2565
 
1.4%
3 867
 
0.5%
4 446
 
0.2%
9 255
 
0.1%
5 155
 
0.1%
6 117
 
0.1%
ValueCountFrequency (%)
1 167637
93.1%
2 7962
 
4.4%
3 867
 
0.5%
4 446
 
0.2%
5 155
 
0.1%
ValueCountFrequency (%)
9 255
 
0.1%
8 2565
1.4%
6 117
 
0.1%
5 155
 
0.1%
4 446
 
0.2%

EDUC
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.94160685
Minimum0
Maximum99
Zeros207
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:54.420219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q113
median16
Q318
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.813691262
Coefficient of variation (CV)0.4274155877
Kurtosis111.6059781
Mean15.94160685
Median Absolute Deviation (MAD)2
Skewness9.245343436
Sum2869553
Variance46.42638861
MonotonicityNot monotonic
2023-09-07T18:28:54.561752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
16 42690
23.7%
18 37379
20.8%
12 28281
15.7%
14 18044
10.0%
20 17127
9.5%
13 8333
 
4.6%
15 5717
 
3.2%
17 4895
 
2.7%
19 4556
 
2.5%
10 1818
 
1.0%
Other values (23) 11164
 
6.2%
ValueCountFrequency (%)
0 207
 
0.1%
1 142
 
0.1%
2 327
0.2%
3 547
0.3%
4 364
0.2%
ValueCountFrequency (%)
99 932
0.5%
31 1
 
< 0.1%
30 11
 
< 0.1%
29 16
 
< 0.1%
28 12
 
< 0.1%

MARISTAT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.771249528
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:54.685268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.281908388
Coefficient of variation (CV)0.7237311106
Kurtosis5.842696129
Mean1.771249528
Median Absolute Deviation (MAD)0
Skewness2.224660577
Sum318832
Variance1.643289115
MonotonicityNot monotonic
2023-09-07T18:28:54.805809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 109579
60.9%
2 35427
 
19.7%
3 20631
 
11.5%
5 9080
 
5.0%
6 2914
 
1.6%
4 1547
 
0.9%
9 826
 
0.5%
ValueCountFrequency (%)
1 109579
60.9%
2 35427
 
19.7%
3 20631
 
11.5%
4 1547
 
0.9%
5 9080
 
5.0%
ValueCountFrequency (%)
9 826
 
0.5%
6 2914
 
1.6%
5 9080
5.0%
4 1547
 
0.9%
3 20631
11.5%

NACCLIVS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.002883269
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:54.922848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9000958994
Coefficient of variation (CV)0.449400079
Kurtosis6.997496954
Mean2.002883269
Median Absolute Deviation (MAD)0
Skewness1.824338523
Sum360527
Variance0.8101726281
MonotonicityNot monotonic
2023-09-07T18:28:55.048385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 105966
58.9%
1 46095
25.6%
3 14374
 
8.0%
4 9583
 
5.3%
5 3707
 
2.1%
9 279
 
0.2%
ValueCountFrequency (%)
1 46095
25.6%
2 105966
58.9%
3 14374
 
8.0%
4 9583
 
5.3%
5 3707
 
2.1%
ValueCountFrequency (%)
9 279
 
0.2%
5 3707
 
2.1%
4 9583
 
5.3%
3 14374
 
8.0%
2 105966
58.9%

INDEPEND
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.552943268
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:55.163903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9763867365
Coefficient of variation (CV)0.6287330366
Kurtosis10.21305957
Mean1.552943268
Median Absolute Deviation (MAD)0
Skewness2.469942828
Sum279536
Variance0.9533310592
MonotonicityNot monotonic
2023-09-07T18:28:55.282420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 122069
67.8%
2 29984
 
16.7%
3 17075
 
9.5%
4 10322
 
5.7%
9 554
 
0.3%
ValueCountFrequency (%)
1 122069
67.8%
2 29984
 
16.7%
3 17075
 
9.5%
4 10322
 
5.7%
9 554
 
0.3%
ValueCountFrequency (%)
9 554
 
0.3%
4 10322
 
5.7%
3 17075
 
9.5%
2 29984
 
16.7%
1 122069
67.8%

RESIDENC
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.306432079
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:55.397947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.12942632
Coefficient of variation (CV)0.8645120842
Kurtosis31.66606147
Mean1.306432079
Median Absolute Deviation (MAD)0
Skewness5.346573095
Sum235163
Variance1.275603812
MonotonicityNot monotonic
2023-09-07T18:28:55.516981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 157175
87.3%
2 11457
 
6.4%
3 4544
 
2.5%
4 4002
 
2.2%
9 2826
 
1.6%
ValueCountFrequency (%)
1 157175
87.3%
2 11457
 
6.4%
3 4544
 
2.5%
4 4002
 
2.2%
9 2826
 
1.6%
ValueCountFrequency (%)
9 2826
 
1.6%
4 4002
 
2.2%
3 4544
 
2.5%
2 11457
 
6.4%
1 157175
87.3%

HANDED
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.976589409
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:28:55.633498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5901520658
Coefficient of variation (CV)0.2985708934
Kurtosis99.31746348
Mean1.976589409
Median Absolute Deviation (MAD)0
Skewness8.278700722
Sum355794
Variance0.3482794607
MonotonicityNot monotonic
2023-09-07T18:28:55.752023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 160942
89.4%
1 14371
 
8.0%
3 3780
 
2.1%
9 911
 
0.5%
ValueCountFrequency (%)
1 14371
 
8.0%
2 160942
89.4%
3 3780
 
2.1%
9 911
 
0.5%
ValueCountFrequency (%)
9 911
 
0.5%
3 3780
 
2.1%
2 160942
89.4%
1 14371
 
8.0%

INBIRMO
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.963450812
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:55.877540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q13
median7
Q310
95-th percentile12
Maximum99
Range103
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.51392584
Coefficient of variation (CV)1.842362522
Kurtosis24.20206823
Mean8.963450812
Median Absolute Deviation (MAD)3
Skewness4.943397266
Sum1613457
Variance272.7097467
MonotonicityNot monotonic
2023-09-07T18:28:55.994716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9 15215
 
8.5%
10 14935
 
8.3%
8 14472
 
8.0%
3 14400
 
8.0%
7 14118
 
7.8%
12 14071
 
7.8%
5 13923
 
7.7%
1 13878
 
7.7%
6 13210
 
7.3%
11 13021
 
7.2%
Other values (4) 38761
21.5%
ValueCountFrequency (%)
-4 7637
4.2%
1 13878
7.7%
2 12667
7.0%
3 14400
8.0%
4 12921
7.2%
ValueCountFrequency (%)
99 5536
 
3.1%
12 14071
7.8%
11 13021
7.2%
10 14935
8.3%
9 15215
8.5%

INBIRYR
Real number (ℝ)

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2101.138008
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:56.129752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1920
Q11937
median1947
Q31958
95-th percentile1981
Maximum9999
Range10003
Interquartile range (IQR)21

Descriptive statistics

Standard deviation1426.670417
Coefficient of variation (CV)0.6789989099
Kurtosis24.68800295
Mean2101.138008
Median Absolute Deviation (MAD)10
Skewness4.827629496
Sum378213246
Variance2035388.479
MonotonicityNot monotonic
2023-09-07T18:28:56.283269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 7637
 
4.2%
1947 5765
 
3.2%
1942 5293
 
2.9%
9999 5268
 
2.9%
1943 5144
 
2.9%
1946 5077
 
2.8%
1948 4874
 
2.7%
1949 4492
 
2.5%
1940 4450
 
2.5%
1944 4435
 
2.5%
Other values (93) 127569
70.9%
ValueCountFrequency (%)
-4 7637
4.2%
1900 7
 
< 0.1%
1902 1
 
< 0.1%
1905 1
 
< 0.1%
1906 1
 
< 0.1%
ValueCountFrequency (%)
9999 5268
2.9%
2005 1
 
< 0.1%
2004 5
 
< 0.1%
2003 2
 
< 0.1%
2002 6
 
< 0.1%

INSEX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.423868358
Minimum-4
Maximum2
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:56.398912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.231672623
Coefficient of variation (CV)0.8650186061
Kurtosis12.99050257
Mean1.423868358
Median Absolute Deviation (MAD)0
Skewness-3.571187941
Sum256302
Variance1.51701745
MonotonicityNot monotonic
2023-09-07T18:28:56.513935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 114483
63.6%
1 57884
32.2%
-4 7637
 
4.2%
ValueCountFrequency (%)
-4 7637
 
4.2%
1 57884
32.2%
2 114483
63.6%
ValueCountFrequency (%)
2 114483
63.6%
1 57884
32.2%
-4 7637
 
4.2%

NEWINF
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.134780338
Minimum-4
Maximum1
Zeros115799
Zeros (%)64.3%
Negative53694
Negative (%)29.8%
Memory size1.4 MiB
2023-09-07T18:28:56.631454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.882386877
Coefficient of variation (CV)-1.658811678
Kurtosis-1.217246761
Mean-1.134780338
Median Absolute Deviation (MAD)0
Skewness-0.8258424683
Sum-204265
Variance3.543380356
MonotonicityNot monotonic
2023-09-07T18:28:56.748968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 115799
64.3%
-4 53694
29.8%
1 10511
 
5.8%
ValueCountFrequency (%)
-4 53694
29.8%
0 115799
64.3%
1 10511
 
5.8%
ValueCountFrequency (%)
1 10511
 
5.8%
0 115799
64.3%
-4 53694
29.8%

INHISP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.681751517
Minimum-4
Maximum9
Zeros50894
Zeros (%)28.3%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:56.861072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.026938704
Coefficient of variation (CV)-0.7558264409
Kurtosis2.386084017
Mean-2.681751517
Median Absolute Deviation (MAD)0
Skewness1.343254972
Sum-482726
Variance4.108480511
MonotonicityNot monotonic
2023-09-07T18:28:56.979494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 123436
68.6%
0 50894
28.3%
1 5006
 
2.8%
9 668
 
0.4%
ValueCountFrequency (%)
-4 123436
68.6%
0 50894
28.3%
1 5006
 
2.8%
9 668
 
0.4%
ValueCountFrequency (%)
9 668
 
0.4%
1 5006
 
2.8%
0 50894
28.3%
-4 123436
68.6%

INHISPOR
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.68021822
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:57.104017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q388
95-th percentile88
Maximum99
Range103
Interquartile range (IQR)92

Descriptive statistics

Standard deviation41.55370893
Coefficient of variation (CV)1.832156487
Kurtosis-1.122517623
Mean22.68021822
Median Absolute Deviation (MAD)0
Skewness0.9341537334
Sum4082530
Variance1726.710725
MonotonicityNot monotonic
2023-09-07T18:28:57.231632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-4 123436
68.6%
88 51562
28.6%
1 1747
 
1.0%
2 826
 
0.5%
6 705
 
0.4%
4 567
 
0.3%
3 468
 
0.3%
5 336
 
0.2%
50 194
 
0.1%
99 163
 
0.1%
ValueCountFrequency (%)
-4 123436
68.6%
1 1747
 
1.0%
2 826
 
0.5%
3 468
 
0.3%
4 567
 
0.3%
ValueCountFrequency (%)
99 163
 
0.1%
88 51562
28.6%
50 194
 
0.1%
6 705
 
0.4%
5 336
 
0.2%

NACCNINR
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.576453857
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative5967
Negative (%)3.3%
Memory size1.4 MiB
2023-09-07T18:28:57.347148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.16752794
Coefficient of variation (CV)4.240940481
Kurtosis35.28972107
Mean3.576453857
Median Absolute Deviation (MAD)0
Skewness6.07763407
Sum643776
Variance230.0539038
MonotonicityNot monotonic
2023-09-07T18:28:57.476665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 139473
77.5%
2 20443
 
11.4%
-4 5967
 
3.3%
5 4668
 
2.6%
99 4399
 
2.4%
6 4392
 
2.4%
3 556
 
0.3%
4 106
 
0.1%
ValueCountFrequency (%)
-4 5967
 
3.3%
1 139473
77.5%
2 20443
 
11.4%
3 556
 
0.3%
4 106
 
0.1%
ValueCountFrequency (%)
99 4399
2.4%
6 4392
2.4%
5 4668
2.6%
4 106
 
0.1%
3 556
 
0.3%

INRACE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.409185351
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:57.591182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile2
Maximum99
Range103
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.103000683
Coefficient of variation (CV)-6.459761077
Kurtosis84.536999
Mean-1.409185351
Median Absolute Deviation (MAD)0
Skewness8.663593987
Sum-253659
Variance82.86462144
MonotonicityNot monotonic
2023-09-07T18:28:57.712845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 123436
68.6%
1 43844
 
24.4%
2 8200
 
4.6%
5 1654
 
0.9%
50 1503
 
0.8%
99 961
 
0.5%
3 342
 
0.2%
4 64
 
< 0.1%
ValueCountFrequency (%)
-4 123436
68.6%
1 43844
 
24.4%
2 8200
 
4.6%
3 342
 
0.2%
4 64
 
< 0.1%
ValueCountFrequency (%)
99 961
0.5%
50 1503
0.8%
5 1654
0.9%
4 64
 
< 0.1%
3 342
 
0.2%

INRASEC
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.30105998
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:58.069400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q388
95-th percentile88
Maximum99
Range103
Interquartile range (IQR)92

Descriptive statistics

Standard deviation42.45794069
Coefficient of variation (CV)1.747164145
Kurtosis-1.288437623
Mean24.30105998
Median Absolute Deviation (MAD)0
Skewness0.8406364896
Sum4374288
Variance1802.676727
MonotonicityNot monotonic
2023-09-07T18:28:58.193918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 123436
68.6%
88 53903
29.9%
99 1096
 
0.6%
3 730
 
0.4%
1 367
 
0.2%
50 254
 
0.1%
5 105
 
0.1%
2 85
 
< 0.1%
4 28
 
< 0.1%
ValueCountFrequency (%)
-4 123436
68.6%
1 367
 
0.2%
2 85
 
< 0.1%
3 730
 
0.4%
4 28
 
< 0.1%
ValueCountFrequency (%)
99 1096
 
0.6%
88 53903
29.9%
50 254
 
0.1%
5 105
 
0.1%
4 28
 
< 0.1%

INRATER
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.8626475
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:58.305440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q388
95-th percentile88
Maximum99
Range103
Interquartile range (IQR)92

Descriptive statistics

Standard deviation42.75418773
Coefficient of variation (CV)1.719615248
Kurtosis-1.344085705
Mean24.8626475
Median Absolute Deviation (MAD)0
Skewness0.8081822125
Sum4475376
Variance1827.920569
MonotonicityNot monotonic
2023-09-07T18:28:58.422391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 123436
68.6%
88 55202
30.7%
99 1092
 
0.6%
1 97
 
0.1%
3 83
 
< 0.1%
50 55
 
< 0.1%
5 18
 
< 0.1%
2 17
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
-4 123436
68.6%
1 97
 
0.1%
2 17
 
< 0.1%
3 83
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
99 1092
 
0.6%
88 55202
30.7%
50 55
 
< 0.1%
5 18
 
< 0.1%
4 4
 
< 0.1%

INEDUC
Real number (ℝ)

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.81473745
Minimum-4
Maximum99
Zeros18
Zeros (%)< 0.1%
Negative123436
Negative (%)68.6%
Memory size1.4 MiB
2023-09-07T18:28:58.550915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q313
95-th percentile19
Maximum99
Range103
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.32956792
Coefficient of variation (CV)4.280653159
Kurtosis20.33260018
Mean3.81473745
Median Absolute Deviation (MAD)0
Skewness4.03060351
Sum686668
Variance266.6547883
MonotonicityNot monotonic
2023-09-07T18:28:58.691425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-4 123436
68.6%
16 14917
 
8.3%
18 10493
 
5.8%
12 8783
 
4.9%
14 6088
 
3.4%
20 4242
 
2.4%
99 3616
 
2.0%
13 2402
 
1.3%
15 1669
 
0.9%
17 1272
 
0.7%
Other values (24) 3086
 
1.7%
ValueCountFrequency (%)
-4 123436
68.6%
0 18
 
< 0.1%
1 36
 
< 0.1%
2 40
 
< 0.1%
3 46
 
< 0.1%
ValueCountFrequency (%)
99 3616
2.0%
33 1
 
< 0.1%
30 2
 
< 0.1%
29 2
 
< 0.1%
28 6
 
< 0.1%

INRELTO
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.69195129
Minimum-4
Maximum7
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:58.813461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum7
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.834476315
Coefficient of variation (CV)1.084237073
Kurtosis2.922369045
Mean1.69195129
Median Absolute Deviation (MAD)0
Skewness-0.3257156049
Sum304558
Variance3.365303351
MonotonicityNot monotonic
2023-09-07T18:28:58.922976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 95696
53.2%
2 42361
23.5%
5 17715
 
9.8%
3 7782
 
4.3%
-4 7637
 
4.2%
4 5832
 
3.2%
7 1553
 
0.9%
6 1428
 
0.8%
ValueCountFrequency (%)
-4 7637
 
4.2%
1 95696
53.2%
2 42361
23.5%
3 7782
 
4.3%
4 5832
 
3.2%
ValueCountFrequency (%)
7 1553
 
0.9%
6 1428
 
0.8%
5 17715
9.8%
4 5832
 
3.2%
3 7782
4.3%

INKNOWN
Real number (ℝ)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.518177374
Minimum-4
Maximum999
Zeros27
Zeros (%)< 0.1%
Negative160670
Negative (%)89.3%
Memory size1.4 MiB
2023-09-07T18:28:59.066492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile45
Maximum999
Range1003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.26383394
Coefficient of variation (CV)13.09559825
Kurtosis177.6197756
Mean5.518177374
Median Absolute Deviation (MAD)0
Skewness13.15378683
Sum993294
Variance5222.061696
MonotonicityNot monotonic
2023-09-07T18:28:59.219256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 160670
89.3%
999 910
 
0.5%
50 721
 
0.4%
40 689
 
0.4%
30 513
 
0.3%
45 489
 
0.3%
35 478
 
0.3%
55 476
 
0.3%
52 445
 
0.2%
20 435
 
0.2%
Other values (83) 14178
 
7.9%
ValueCountFrequency (%)
-4 160670
89.3%
0 27
 
< 0.1%
1 204
 
0.1%
2 165
 
0.1%
3 173
 
0.1%
ValueCountFrequency (%)
999 910
0.5%
99 42
 
< 0.1%
89 1
 
< 0.1%
88 3
 
< 0.1%
87 1
 
< 0.1%

INLIVWTH
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.403085487
Minimum-4
Maximum1
Zeros69262
Zeros (%)38.5%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:59.342771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043623652
Coefficient of variation (CV)2.589087639
Kurtosis10.51325489
Mean0.403085487
Median Absolute Deviation (MAD)0
Skewness-3.101297809
Sum72557
Variance1.089150327
MonotonicityNot monotonic
2023-09-07T18:28:59.455292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 103105
57.3%
0 69262
38.5%
-4 7637
 
4.2%
ValueCountFrequency (%)
-4 7637
 
4.2%
0 69262
38.5%
1 103105
57.3%
ValueCountFrequency (%)
1 103105
57.3%
0 69262
38.5%
-4 7637
 
4.2%

INVISITS
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.654613231
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:59.563804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q13
median8
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.203424533
Coefficient of variation (CV)0.5665152332
Kurtosis1.084301698
Mean5.654613231
Median Absolute Deviation (MAD)0
Skewness-1.285174436
Sum1017853
Variance10.26192874
MonotonicityNot monotonic
2023-09-07T18:28:59.685836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 103105
57.3%
3 19949
 
11.1%
2 16204
 
9.0%
5 8905
 
4.9%
1 8529
 
4.7%
4 7899
 
4.4%
6 7776
 
4.3%
-4 7637
 
4.2%
ValueCountFrequency (%)
-4 7637
 
4.2%
1 8529
4.7%
2 16204
9.0%
3 19949
11.1%
4 7899
 
4.4%
ValueCountFrequency (%)
8 103105
57.3%
6 7776
 
4.3%
5 8905
 
4.9%
4 7899
 
4.4%
3 19949
 
11.1%

INCALLS
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.36969734
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:28:59.792356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile1
Q12
median8
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.432229119
Coefficient of variation (CV)0.639184837
Kurtosis-0.001886597967
Mean5.36969734
Median Absolute Deviation (MAD)0
Skewness-0.9901623537
Sum966567
Variance11.78019673
MonotonicityNot monotonic
2023-09-07T18:28:59.910894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 103105
57.3%
1 22443
 
12.5%
2 18787
 
10.4%
3 15055
 
8.4%
-4 7637
 
4.2%
6 6174
 
3.4%
4 3966
 
2.2%
5 2837
 
1.6%
ValueCountFrequency (%)
-4 7637
 
4.2%
1 22443
12.5%
2 18787
10.4%
3 15055
8.4%
4 3966
 
2.2%
ValueCountFrequency (%)
8 103105
57.3%
6 6174
 
3.4%
5 2837
 
1.6%
4 3966
 
2.2%
3 15055
 
8.4%

INRELY
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1463800804
Minimum-4
Maximum1
Zeros168168
Zeros (%)93.4%
Negative7637
Negative (%)4.2%
Memory size1.4 MiB
2023-09-07T18:29:00.018920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8250656171
Coefficient of variation (CV)-5.636461017
Kurtosis17.27980798
Mean-0.1463800804
Median Absolute Deviation (MAD)0
Skewness-4.255246896
Sum-26349
Variance0.6807332726
MonotonicityNot monotonic
2023-09-07T18:29:00.131436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 168168
93.4%
-4 7637
 
4.2%
1 4199
 
2.3%
ValueCountFrequency (%)
-4 7637
 
4.2%
0 168168
93.4%
1 4199
 
2.3%
ValueCountFrequency (%)
1 4199
 
2.3%
0 168168
93.4%
-4 7637
 
4.2%

NACCFAM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.228372703
Minimum-4
Maximum9
Zeros62851
Zeros (%)34.9%
Negative1909
Negative (%)1.1%
Memory size1.4 MiB
2023-09-07T18:29:00.235958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median1
Q31
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.36784388
Coefficient of variation (CV)1.927626586
Kurtosis6.424671916
Mean1.228372703
Median Absolute Deviation (MAD)0
Skewness2.623482013
Sum221112
Variance5.606684638
MonotonicityNot monotonic
2023-09-07T18:29:00.347473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 101056
56.1%
0 62851
34.9%
9 14188
 
7.9%
-4 1909
 
1.1%
ValueCountFrequency (%)
-4 1909
 
1.1%
0 62851
34.9%
1 101056
56.1%
9 14188
 
7.9%
ValueCountFrequency (%)
9 14188
 
7.9%
1 101056
56.1%
0 62851
34.9%
-4 1909
 
1.1%

NACCMOM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5240605764
Minimum-4
Maximum9
Zeros109086
Zeros (%)60.6%
Negative1909
Negative (%)1.1%
Memory size1.4 MiB
2023-09-07T18:29:00.455003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.452412677
Coefficient of variation (CV)2.771459526
Kurtosis24.56022909
Mean0.5240605764
Median Absolute Deviation (MAD)0
Skewness4.21270052
Sum94333
Variance2.109502584
MonotonicityNot monotonic
2023-09-07T18:29:00.568514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 109086
60.6%
1 64889
36.0%
9 4120
 
2.3%
-4 1909
 
1.1%
ValueCountFrequency (%)
-4 1909
 
1.1%
0 109086
60.6%
1 64889
36.0%
9 4120
 
2.3%
ValueCountFrequency (%)
9 4120
 
2.3%
1 64889
36.0%
0 109086
60.6%
-4 1909
 
1.1%

NACCDAD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4448901136
Minimum-4
Maximum9
Zeros139897
Zeros (%)77.7%
Negative1909
Negative (%)1.1%
Memory size1.4 MiB
2023-09-07T18:29:00.679032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.713193095
Coefficient of variation (CV)3.850823031
Kurtosis18.87068466
Mean0.4448901136
Median Absolute Deviation (MAD)0
Skewness4.089480909
Sum80082
Variance2.935030582
MonotonicityNot monotonic
2023-09-07T18:29:00.795552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 139897
77.7%
1 32008
 
17.8%
9 6190
 
3.4%
-4 1909
 
1.1%
ValueCountFrequency (%)
-4 1909
 
1.1%
0 139897
77.7%
1 32008
 
17.8%
9 6190
 
3.4%
ValueCountFrequency (%)
9 6190
 
3.4%
1 32008
 
17.8%
0 139897
77.7%
-4 1909
 
1.1%

NACCAM
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.601603298
Minimum-4
Maximum9
Zeros38378
Zeros (%)21.3%
Negative61745
Negative (%)34.3%
Memory size1.4 MiB
2023-09-07T18:29:00.904088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation5.869227393
Coefficient of variation (CV)2.25600398
Kurtosis-1.820141134
Mean2.601603298
Median Absolute Deviation (MAD)4
Skewness0.06447395278
Sum468299
Variance34.44783019
MonotonicityNot monotonic
2023-09-07T18:29:01.021115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9 79288
44.0%
-4 61745
34.3%
0 38378
21.3%
2 236
 
0.1%
1 218
 
0.1%
8 116
 
0.1%
3 23
 
< 0.1%
ValueCountFrequency (%)
-4 61745
34.3%
0 38378
21.3%
1 218
 
0.1%
2 236
 
0.1%
3 23
 
< 0.1%
ValueCountFrequency (%)
9 79288
44.0%
8 116
 
0.1%
3 23
 
< 0.1%
2 236
 
0.1%
1 218
 
0.1%

NACCAMS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751238861
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative100123
Negative (%)55.6%
Memory size1.4 MiB
2023-09-07T18:29:01.133630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.448217771
Coefficient of variation (CV)3.682089241
Kurtosis-1.943596522
Mean1.751238861
Median Absolute Deviation (MAD)0
Skewness0.2320000354
Sum315230
Variance41.57951242
MonotonicityNot monotonic
2023-09-07T18:29:01.245151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 100123
55.6%
9 79380
44.1%
3 200
 
0.1%
2 163
 
0.1%
1 104
 
0.1%
8 34
 
< 0.1%
ValueCountFrequency (%)
-4 100123
55.6%
1 104
 
0.1%
2 163
 
0.1%
3 200
 
0.1%
8 34
 
< 0.1%
ValueCountFrequency (%)
9 79380
44.1%
8 34
 
< 0.1%
3 200
 
0.1%
2 163
 
0.1%
1 104
 
0.1%

NACCFM
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.594031244
Minimum-4
Maximum9
Zeros38422
Zeros (%)21.3%
Negative61745
Negative (%)34.3%
Memory size1.4 MiB
2023-09-07T18:29:01.357671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation5.865443157
Coefficient of variation (CV)2.261130498
Kurtosis-1.81822945
Mean2.594031244
Median Absolute Deviation (MAD)4
Skewness0.0670324486
Sum466936
Variance34.40342343
MonotonicityNot monotonic
2023-09-07T18:29:01.473193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9 79141
44.0%
-4 61745
34.3%
0 38422
21.3%
3 288
 
0.2%
1 261
 
0.1%
2 101
 
0.1%
8 34
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
-4 61745
34.3%
0 38422
21.3%
1 261
 
0.1%
2 101
 
0.1%
3 288
 
0.2%
ValueCountFrequency (%)
9 79141
44.0%
8 34
 
< 0.1%
4 12
 
< 0.1%
3 288
 
0.2%
2 101
 
0.1%

NACCFMS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7424835
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative100167
Negative (%)55.6%
Memory size1.4 MiB
2023-09-07T18:29:01.584708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.444756902
Coefficient of variation (CV)3.698604263
Kurtosis-1.941472862
Mean1.7424835
Median Absolute Deviation (MAD)0
Skewness0.2348701131
Sum313654
Variance41.53489153
MonotonicityNot monotonic
2023-09-07T18:29:01.698227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 100167
55.6%
9 79212
44.0%
2 348
 
0.2%
3 154
 
0.1%
1 104
 
0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
-4 100167
55.6%
1 104
 
0.1%
2 348
 
0.2%
3 154
 
0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
9 79212
44.0%
8 19
 
< 0.1%
3 154
 
0.1%
2 348
 
0.2%
1 104
 
0.1%

NACCOM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.592897936
Minimum-4
Maximum9
Zeros38635
Zeros (%)21.5%
Negative61745
Negative (%)34.3%
Memory size1.4 MiB
2023-09-07T18:29:01.822271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation5.868054882
Coefficient of variation (CV)2.263126057
Kurtosis-1.81942089
Mean2.592897936
Median Absolute Deviation (MAD)4
Skewness0.06812757151
Sum466732
Variance34.4340681
MonotonicityNot monotonic
2023-09-07T18:29:01.931788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
9 79261
44.0%
-4 61745
34.3%
0 38635
21.5%
1 363
 
0.2%
ValueCountFrequency (%)
-4 61745
34.3%
0 38635
21.5%
1 363
 
0.2%
9 79261
44.0%
ValueCountFrequency (%)
9 79261
44.0%
1 363
 
0.2%
0 38635
21.5%
-4 61745
34.3%

NACCOMS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738772472
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative100380
Negative (%)55.8%
Memory size1.4 MiB
2023-09-07T18:29:02.035307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.449726851
Coefficient of variation (CV)3.709356432
Kurtosis-1.942709482
Mean1.738772472
Median Absolute Deviation (MAD)0
Skewness0.2358854448
Sum312986
Variance41.59897646
MonotonicityNot monotonic
2023-09-07T18:29:02.146828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 100380
55.8%
9 79286
44.0%
3 158
 
0.1%
1 112
 
0.1%
8 35
 
< 0.1%
2 33
 
< 0.1%
ValueCountFrequency (%)
-4 100380
55.8%
1 112
 
0.1%
2 33
 
< 0.1%
3 158
 
0.1%
8 35
 
< 0.1%
ValueCountFrequency (%)
9 79286
44.0%
8 35
 
< 0.1%
3 158
 
0.1%
2 33
 
< 0.1%
1 112
 
0.1%

NACCFADM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003349925557
Minimum0
Maximum1
Zeros179401
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:02.309480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0577816762
Coefficient of variation (CV)17.24864485
Kurtosis293.5256439
Mean0.003349925557
Median Absolute Deviation (MAD)0
Skewness17.19076446
Sum603
Variance0.003338722104
MonotonicityNot monotonic
2023-09-07T18:29:02.428511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179401
99.7%
1 603
 
0.3%
ValueCountFrequency (%)
0 179401
99.7%
1 603
 
0.3%
ValueCountFrequency (%)
1 603
 
0.3%
0 179401
99.7%

NACCFFTD
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006127641608
Minimum0
Maximum1
Zeros178901
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:02.539032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07803926864
Coefficient of variation (CV)12.73561243
Kurtosis158.2055162
Mean0.006127641608
Median Absolute Deviation (MAD)0
Skewness12.65716233
Sum1103
Variance0.00609012745
MonotonicityNot monotonic
2023-09-07T18:29:02.665556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178901
99.4%
1 1103
 
0.6%
ValueCountFrequency (%)
0 178901
99.4%
1 1103
 
0.6%
ValueCountFrequency (%)
1 1103
 
0.6%
0 178901
99.4%

ANYMEDS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8914190796
Minimum-4
Maximum1
Zeros7055
Zeros (%)3.9%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:29:02.775067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6118354122
Coefficient of variation (CV)0.6863611361
Kurtosis53.87034265
Mean0.8914190796
Median Absolute Deviation (MAD)0
Skewness-7.207101083
Sum160459
Variance0.3743425716
MonotonicityNot monotonic
2023-09-07T18:29:02.897748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 170451
94.7%
0 7055
 
3.9%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 7055
 
3.9%
1 170451
94.7%
ValueCountFrequency (%)
1 170451
94.7%
0 7055
 
3.9%
-4 2498
 
1.4%

DRUG1
Text

Distinct850
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:03.112803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length10.37379725
Min length4

Characters and Unicode

Total characters1867325
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)0.1%

Sample

1st rowASPIRIN
2nd rowGINKGO
3rd rowTAMSULOSIN
4th rowMULTIVITAMIN
5th rowASPIRIN
ValueCountFrequency (%)
aspirin 38454
 
19.4%
metoprolol 10425
 
5.3%
atenolol 9354
 
4.7%
acetaminophen 8105
 
4.1%
levothyroxine 8095
 
4.1%
ibuprofen 7116
 
3.6%
warfarin 5498
 
2.8%
naproxen 5054
 
2.5%
furosemide 3626
 
1.8%
hydrochlorothiazide 3508
 
1.8%
Other values (868) 99293
50.0%
2023-09-07T18:29:03.486771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 228946
12.3%
A 192693
10.3%
O 181259
9.7%
N 168050
9.0%
E 150401
 
8.1%
R 144743
 
7.8%
L 124213
 
6.7%
P 109512
 
5.9%
T 97638
 
5.2%
M 65252
 
3.5%
Other values (33) 404618
21.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1841323
98.6%
Space Separator 18524
 
1.0%
Dash Punctuation 4637
 
0.2%
Decimal Number 2607
 
0.1%
Other Punctuation 126
 
< 0.1%
Lowercase Letter 104
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 228946
12.4%
A 192693
10.5%
O 181259
9.8%
N 168050
9.1%
E 150401
 
8.2%
R 144743
 
7.9%
L 124213
 
6.7%
P 109512
 
5.9%
T 97638
 
5.3%
M 65252
 
3.5%
Other values (16) 378616
20.6%
Lowercase Letter
ValueCountFrequency (%)
o 26
25.0%
t 13
12.5%
d 13
12.5%
a 13
12.5%
b 13
12.5%
l 13
12.5%
e 13
12.5%
Decimal Number
ValueCountFrequency (%)
3 2593
99.5%
5 7
 
0.3%
0 7
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 94
74.6%
* 26
 
20.6%
, 6
 
4.8%
Space Separator
ValueCountFrequency (%)
18524
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4637
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1841427
98.6%
Common 25898
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 228946
12.4%
A 192693
10.5%
O 181259
9.8%
N 168050
9.1%
E 150401
 
8.2%
R 144743
 
7.9%
L 124213
 
6.7%
P 109512
 
5.9%
T 97638
 
5.3%
M 65252
 
3.5%
Other values (23) 378720
20.6%
Common
ValueCountFrequency (%)
18524
71.5%
- 4637
 
17.9%
3 2593
 
10.0%
/ 94
 
0.4%
* 26
 
0.1%
5 7
 
< 0.1%
0 7
 
< 0.1%
, 6
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1867325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 228946
12.3%
A 192693
10.3%
O 181259
9.7%
N 168050
9.0%
E 150401
 
8.1%
R 144743
 
7.8%
L 124213
 
6.7%
P 109512
 
5.9%
T 97638
 
5.2%
M 65252
 
3.5%
Other values (33) 404618
21.7%

DRUG2
Text

Distinct1066
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:03.721326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length11.70473434
Min length3

Characters and Unicode

Total characters2106899
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)0.2%

Sample

1st rowLEVOTHYROXINE
2nd rowRIVASTIGMINE
3rd rowASPIRIN
4th rowTACROLIMUS
5th rowOMEPRAZOLE
ValueCountFrequency (%)
aspirin 37809
 
17.2%
levothyroxine 9344
 
4.2%
acid 6075
 
2.8%
acids 5818
 
2.6%
fatty 5814
 
2.6%
omega-3 5812
 
2.6%
polyunsaturated 5812
 
2.6%
multivitamin 5662
 
2.6%
metoprolol 5491
 
2.5%
hydrochlorothiazide 5299
 
2.4%
Other values (1082) 127141
57.8%
2023-09-07T18:29:04.115752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 267809
12.7%
A 218404
 
10.4%
O 176188
 
8.4%
N 158953
 
7.5%
E 155666
 
7.4%
R 144110
 
6.8%
T 125117
 
5.9%
L 122094
 
5.8%
P 99005
 
4.7%
S 91256
 
4.3%
Other values (38) 548297
26.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2049963
97.3%
Space Separator 40073
 
1.9%
Dash Punctuation 10386
 
0.5%
Decimal Number 5947
 
0.3%
Other Punctuation 280
 
< 0.1%
Lowercase Letter 216
 
< 0.1%
Open Punctuation 17
 
< 0.1%
Close Punctuation 17
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 267809
13.1%
A 218404
10.7%
O 176188
 
8.6%
N 158953
 
7.8%
E 155666
 
7.6%
R 144110
 
7.0%
T 125117
 
6.1%
L 122094
 
6.0%
P 99005
 
4.8%
S 91256
 
4.5%
Other values (16) 491361
24.0%
Lowercase Letter
ValueCountFrequency (%)
o 54
25.0%
e 27
12.5%
b 27
12.5%
l 27
12.5%
a 27
12.5%
d 27
12.5%
t 27
12.5%
Decimal Number
ValueCountFrequency (%)
3 5875
98.8%
0 30
 
0.5%
5 30
 
0.5%
6 5
 
0.1%
9 5
 
0.1%
2 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
/ 193
68.9%
* 54
 
19.3%
, 30
 
10.7%
& 2
 
0.7%
' 1
 
0.4%
Space Separator
ValueCountFrequency (%)
40073
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2050179
97.3%
Common 56720
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 267809
13.1%
A 218404
10.7%
O 176188
 
8.6%
N 158953
 
7.8%
E 155666
 
7.6%
R 144110
 
7.0%
T 125117
 
6.1%
L 122094
 
6.0%
P 99005
 
4.8%
S 91256
 
4.5%
Other values (23) 491577
24.0%
Common
ValueCountFrequency (%)
40073
70.7%
- 10386
 
18.3%
3 5875
 
10.4%
/ 193
 
0.3%
* 54
 
0.1%
, 30
 
0.1%
0 30
 
0.1%
5 30
 
0.1%
( 17
 
< 0.1%
) 17
 
< 0.1%
Other values (5) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2106899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 267809
12.7%
A 218404
 
10.4%
O 176188
 
8.4%
N 158953
 
7.5%
E 155666
 
7.4%
R 144110
 
6.8%
T 125117
 
5.9%
L 122094
 
5.8%
P 99005
 
4.7%
S 91256
 
4.3%
Other values (38) 548297
26.0%

DRUG3
Text

Distinct1187
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:04.334789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length12.17230728
Min length3

Characters and Unicode

Total characters2191064
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)0.2%

Sample

1st rowAMLODIPINE
2nd rowMEMANTINE
3rd rowASPIRIN
4th rowRIVASTIGMINE
5th rowCYANOCOBALAMIN
ValueCountFrequency (%)
aspirin 37402
 
16.3%
multivitamin 9050
 
4.0%
acids 6684
 
2.9%
omega-3 6680
 
2.9%
fatty 6680
 
2.9%
polyunsaturated 6680
 
2.9%
levothyroxine 6577
 
2.9%
acid 6007
 
2.6%
cyanocobalamin 4949
 
2.2%
omeprazole 4615
 
2.0%
Other values (1210) 133786
58.4%
2023-09-07T18:29:04.712919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 285622
13.0%
A 235232
10.7%
O 165994
 
7.6%
N 162745
 
7.4%
E 150532
 
6.9%
R 141758
 
6.5%
T 139867
 
6.4%
L 127524
 
5.8%
S 105555
 
4.8%
P 91982
 
4.2%
Other values (37) 584253
26.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2120678
96.8%
Space Separator 49106
 
2.2%
Dash Punctuation 13514
 
0.6%
Decimal Number 6946
 
0.3%
Other Punctuation 446
 
< 0.1%
Lowercase Letter 328
 
< 0.1%
Open Punctuation 23
 
< 0.1%
Close Punctuation 23
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 285622
13.5%
A 235232
11.1%
O 165994
 
7.8%
N 162745
 
7.7%
E 150532
 
7.1%
R 141758
 
6.7%
T 139867
 
6.6%
L 127524
 
6.0%
S 105555
 
5.0%
P 91982
 
4.3%
Other values (16) 513867
24.2%
Lowercase Letter
ValueCountFrequency (%)
o 82
25.0%
l 41
12.5%
e 41
12.5%
d 41
12.5%
b 41
12.5%
a 41
12.5%
t 41
12.5%
Decimal Number
ValueCountFrequency (%)
3 6809
98.0%
5 61
 
0.9%
0 59
 
0.8%
9 9
 
0.1%
6 8
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 328
73.5%
* 82
 
18.4%
, 27
 
6.1%
. 5
 
1.1%
' 4
 
0.9%
Space Separator
ValueCountFrequency (%)
49106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2121006
96.8%
Common 70058
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 285622
13.5%
A 235232
11.1%
O 165994
 
7.8%
N 162745
 
7.7%
E 150532
 
7.1%
R 141758
 
6.7%
T 139867
 
6.6%
L 127524
 
6.0%
S 105555
 
5.0%
P 91982
 
4.3%
Other values (23) 514195
24.2%
Common
ValueCountFrequency (%)
49106
70.1%
- 13514
 
19.3%
3 6809
 
9.7%
/ 328
 
0.5%
* 82
 
0.1%
5 61
 
0.1%
0 59
 
0.1%
, 27
 
< 0.1%
( 23
 
< 0.1%
) 23
 
< 0.1%
Other values (4) 26
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2191064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 285622
13.0%
A 235232
10.7%
O 165994
 
7.6%
N 162745
 
7.4%
E 150532
 
6.9%
R 141758
 
6.5%
T 139867
 
6.4%
L 127524
 
5.8%
S 105555
 
4.8%
P 91982
 
4.2%
Other values (37) 584253
26.7%

DRUG4
Text

Distinct1296
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:04.985431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length13.18599587
Min length3

Characters and Unicode

Total characters2373532
Distinct characters50
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique371 ?
Unique (%)0.2%

Sample

1st rowLORATADINE
2nd rowMULTIVITAMIN
3rd rowMULTIVITAMIN
4th rowMEMANTINE
5th rowERGOCALCIFEROL
ValueCountFrequency (%)
multivitamin 55224
24.2%
acids 5760
 
2.5%
fatty 5752
 
2.5%
omega-3 5752
 
2.5%
polyunsaturated 5752
 
2.5%
acid 4660
 
2.0%
simvastatin 4594
 
2.0%
d 4392
 
1.9%
calcium-vitamin 4382
 
1.9%
lisinopril 4187
 
1.8%
Other values (1338) 127426
55.9%
2023-09-07T18:29:05.657084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 343596
14.5%
A 239245
10.1%
T 227304
 
9.6%
M 181553
 
7.6%
N 169050
 
7.1%
L 167303
 
7.0%
O 144034
 
6.1%
E 139001
 
5.9%
R 97703
 
4.1%
U 91563
 
3.9%
Other values (40) 573180
24.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2304596
97.1%
Space Separator 47877
 
2.0%
Dash Punctuation 13779
 
0.6%
Decimal Number 6065
 
0.3%
Other Punctuation 689
 
< 0.1%
Lowercase Letter 448
 
< 0.1%
Open Punctuation 39
 
< 0.1%
Close Punctuation 39
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 343596
14.9%
A 239245
10.4%
T 227304
9.9%
M 181553
 
7.9%
N 169050
 
7.3%
L 167303
 
7.3%
O 144034
 
6.2%
E 139001
 
6.0%
R 97703
 
4.2%
U 91563
 
4.0%
Other values (16) 504244
21.9%
Decimal Number
ValueCountFrequency (%)
3 5898
97.2%
5 71
 
1.2%
0 68
 
1.1%
6 11
 
0.2%
9 11
 
0.2%
1 3
 
< 0.1%
2 3
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
o 112
25.0%
b 56
12.5%
e 56
12.5%
l 56
12.5%
a 56
12.5%
d 56
12.5%
t 56
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 507
73.6%
* 112
 
16.3%
, 45
 
6.5%
' 11
 
1.6%
. 9
 
1.3%
& 5
 
0.7%
Space Separator
ValueCountFrequency (%)
47877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13779
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2305044
97.1%
Common 68488
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 343596
14.9%
A 239245
10.4%
T 227304
9.9%
M 181553
 
7.9%
N 169050
 
7.3%
L 167303
 
7.3%
O 144034
 
6.2%
E 139001
 
6.0%
R 97703
 
4.2%
U 91563
 
4.0%
Other values (23) 504692
21.9%
Common
ValueCountFrequency (%)
47877
69.9%
- 13779
 
20.1%
3 5898
 
8.6%
/ 507
 
0.7%
* 112
 
0.2%
5 71
 
0.1%
0 68
 
0.1%
, 45
 
0.1%
( 39
 
0.1%
) 39
 
0.1%
Other values (7) 53
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2373532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 343596
14.5%
A 239245
10.1%
T 227304
 
9.6%
M 181553
 
7.6%
N 169050
 
7.1%
L 167303
 
7.0%
O 144034
 
6.1%
E 139001
 
5.9%
R 97703
 
4.1%
U 91563
 
3.9%
Other values (40) 573180
24.1%

DRUG5
Text

Distinct1290
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:05.947589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length13.09816449
Min length3

Characters and Unicode

Total characters2357722
Distinct characters51
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)0.2%

Sample

1st rowCALCIUM-VITAMIN D
2nd rowMULTIVITAMIN
3rd rowMULTIVITAMIN
4th rowMIRABEGRON
5th rowMULTIVITAMIN
ValueCountFrequency (%)
multivitamin 72402
32.7%
acids 4466
 
2.0%
fatty 4453
 
2.0%
omega-3 4453
 
2.0%
polyunsaturated 4453
 
2.0%
d 4189
 
1.9%
calcium-vitamin 4165
 
1.9%
with 4092
 
1.8%
donepezil 4034
 
1.8%
minerals 4013
 
1.8%
Other values (1346) 110882
50.0%
2023-09-07T18:29:06.380659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 370965
15.7%
T 250484
10.6%
A 234012
9.9%
M 209045
8.9%
N 174229
 
7.4%
L 172611
 
7.3%
E 123155
 
5.2%
O 120657
 
5.1%
U 105872
 
4.5%
V 93025
 
3.9%
Other values (41) 503667
21.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2297303
97.4%
Space Separator 41598
 
1.8%
Dash Punctuation 12713
 
0.5%
Decimal Number 5003
 
0.2%
Other Punctuation 679
 
< 0.1%
Lowercase Letter 328
 
< 0.1%
Close Punctuation 48
 
< 0.1%
Open Punctuation 48
 
< 0.1%
Control 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 370965
16.1%
T 250484
10.9%
A 234012
10.2%
M 209045
9.1%
N 174229
 
7.6%
L 172611
 
7.5%
E 123155
 
5.4%
O 120657
 
5.3%
U 105872
 
4.6%
V 93025
 
4.0%
Other values (16) 443248
19.3%
Decimal Number
ValueCountFrequency (%)
3 4715
94.2%
5 131
 
2.6%
0 123
 
2.5%
6 12
 
0.2%
9 12
 
0.2%
1 7
 
0.1%
2 3
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
o 82
25.0%
e 41
12.5%
b 41
12.5%
l 41
12.5%
a 41
12.5%
d 41
12.5%
t 41
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 525
77.3%
* 82
 
12.1%
, 67
 
9.9%
' 3
 
0.4%
. 2
 
0.3%
Space Separator
ValueCountFrequency (%)
41598
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2297631
97.5%
Common 60091
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 370965
16.1%
T 250484
10.9%
A 234012
10.2%
M 209045
9.1%
N 174229
 
7.6%
L 172611
 
7.5%
E 123155
 
5.4%
O 120657
 
5.3%
U 105872
 
4.6%
V 93025
 
4.0%
Other values (23) 443576
19.3%
Common
ValueCountFrequency (%)
41598
69.2%
- 12713
 
21.2%
3 4715
 
7.8%
/ 525
 
0.9%
5 131
 
0.2%
0 123
 
0.2%
* 82
 
0.1%
, 67
 
0.1%
) 48
 
0.1%
( 48
 
0.1%
Other values (8) 41
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2357722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 370965
15.7%
T 250484
10.6%
A 234012
9.9%
M 209045
8.9%
N 174229
 
7.4%
L 172611
 
7.3%
E 123155
 
5.2%
O 120657
 
5.1%
U 105872
 
4.5%
V 93025
 
3.9%
Other values (41) 503667
21.4%

DRUG6
Text

Distinct1329
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:06.631210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length12
Mean length12.88255817
Min length3

Characters and Unicode

Total characters2318912
Distinct characters50
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)0.2%

Sample

1st rowMULTIVITAMIN
2nd rowMULTIVITAMIN
3rd rowMULTIVITAMIN
4th rowMULTIVITAMIN
5th rowMULTIVITAMIN WITH MINERALS
ValueCountFrequency (%)
multivitamin 89191
41.9%
donepezil 3868
 
1.8%
with 3838
 
1.8%
minerals 3771
 
1.8%
atorvastatin 3766
 
1.8%
d 3597
 
1.7%
calcium-vitamin 3581
 
1.7%
simvastatin 2847
 
1.3%
acids 2793
 
1.3%
fatty 2780
 
1.3%
Other values (1364) 93037
43.7%
2023-09-07T18:29:07.046292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 395965
17.1%
T 268363
11.6%
M 234264
10.1%
A 224150
9.7%
N 176958
7.6%
L 175835
7.6%
U 118047
 
5.1%
E 106457
 
4.6%
V 106193
 
4.6%
O 99656
 
4.3%
Other values (40) 413024
17.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2270579
97.9%
Space Separator 33065
 
1.4%
Dash Punctuation 10550
 
0.5%
Decimal Number 3462
 
0.1%
Other Punctuation 770
 
< 0.1%
Lowercase Letter 368
 
< 0.1%
Close Punctuation 59
 
< 0.1%
Open Punctuation 59
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 395965
17.4%
T 268363
11.8%
M 234264
10.3%
A 224150
9.9%
N 176958
7.8%
L 175835
7.7%
U 118047
 
5.2%
E 106457
 
4.7%
V 106193
 
4.7%
O 99656
 
4.4%
Other values (16) 364691
16.1%
Decimal Number
ValueCountFrequency (%)
3 3103
89.6%
5 156
 
4.5%
0 155
 
4.5%
9 20
 
0.6%
6 19
 
0.5%
2 5
 
0.1%
8 2
 
0.1%
1 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
o 92
25.0%
e 46
12.5%
l 46
12.5%
b 46
12.5%
a 46
12.5%
d 46
12.5%
t 46
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 600
77.9%
* 92
 
11.9%
, 70
 
9.1%
' 5
 
0.6%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
33065
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10550
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2270947
97.9%
Common 47965
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 395965
17.4%
T 268363
11.8%
M 234264
10.3%
A 224150
9.9%
N 176958
7.8%
L 175835
7.7%
U 118047
 
5.2%
E 106457
 
4.7%
V 106193
 
4.7%
O 99656
 
4.4%
Other values (23) 365059
16.1%
Common
ValueCountFrequency (%)
33065
68.9%
- 10550
 
22.0%
3 3103
 
6.5%
/ 600
 
1.3%
5 156
 
0.3%
0 155
 
0.3%
* 92
 
0.2%
, 70
 
0.1%
) 59
 
0.1%
( 59
 
0.1%
Other values (7) 56
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2318912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 395965
17.1%
T 268363
11.6%
M 234264
10.1%
A 224150
9.7%
N 176958
7.6%
L 175835
7.6%
U 118047
 
5.1%
E 106457
 
4.6%
V 106193
 
4.6%
O 99656
 
4.3%
Other values (40) 413024
17.8%

TOBAC30
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.298937801
Minimum-4
Maximum9
Zeros114440
Zeros (%)63.6%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:07.175785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.98504455
Coefficient of variation (CV)-1.528206006
Kurtosis0.2239619739
Mean-1.298937801
Median Absolute Deviation (MAD)0
Skewness-0.2643042111
Sum-233814
Variance3.940401865
MonotonicityNot monotonic
2023-09-07T18:29:07.290300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 114440
63.6%
-4 60634
33.7%
1 4456
 
2.5%
9 474
 
0.3%
ValueCountFrequency (%)
-4 60634
33.7%
0 114440
63.6%
1 4456
 
2.5%
9 474
 
0.3%
ValueCountFrequency (%)
9 474
 
0.3%
1 4456
 
2.5%
0 114440
63.6%
-4 60634
33.7%

TOBAC100
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9897780049
Minimum-4
Maximum9
Zeros64518
Zeros (%)35.8%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:07.397818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.289878042
Coefficient of variation (CV)-2.313526903
Kurtosis0.5831506033
Mean-0.9897780049
Median Absolute Deviation (MAD)1
Skewness0.008213457424
Sum-178164
Variance5.243541449
MonotonicityNot monotonic
2023-09-07T18:29:07.512343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 64518
35.8%
-4 60634
33.7%
1 53662
29.8%
9 1190
 
0.7%
ValueCountFrequency (%)
-4 60634
33.7%
0 64518
35.8%
1 53662
29.8%
9 1190
 
0.7%
ValueCountFrequency (%)
9 1190
 
0.7%
1 53662
29.8%
0 64518
35.8%
-4 60634
33.7%

SMOKYRS
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.113053043
Minimum-4
Maximum99
Zeros64503
Zeros (%)35.8%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:07.657377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile45
Maximum99
Range103
Interquartile range (IQR)12

Descriptive statistics

Standard deviation19.13554007
Coefficient of variation (CV)2.690200671
Kurtosis9.184424361
Mean7.113053043
Median Absolute Deviation (MAD)4
Skewness2.839302915
Sum1280378
Variance366.1688937
MonotonicityNot monotonic
2023-09-07T18:29:07.823412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64503
35.8%
-4 60634
33.7%
20 5537
 
3.1%
10 4241
 
2.4%
30 3675
 
2.0%
99 3406
 
1.9%
15 3007
 
1.7%
25 2504
 
1.4%
40 2404
 
1.3%
5 2172
 
1.2%
Other values (77) 27921
15.5%
ValueCountFrequency (%)
-4 60634
33.7%
0 64503
35.8%
1 1295
 
0.7%
2 1562
 
0.9%
3 1283
 
0.7%
ValueCountFrequency (%)
99 3406
1.9%
88 356
 
0.2%
84 1
 
< 0.1%
82 4
 
< 0.1%
81 3
 
< 0.1%

PACKSPER
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.537104731
Minimum-4
Maximum9
Zeros64481
Zeros (%)35.8%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:07.951936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile4
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.913226273
Coefficient of variation (CV)-5.423944539
Kurtosis0.3699093758
Mean-0.537104731
Median Absolute Deviation (MAD)2
Skewness0.4973772651
Sum-96681
Variance8.486887316
MonotonicityNot monotonic
2023-09-07T18:29:08.071454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 64481
35.8%
-4 60634
33.7%
1 17749
 
9.9%
2 16375
 
9.1%
3 9122
 
5.1%
5 4074
 
2.3%
4 3884
 
2.2%
9 2604
 
1.4%
8 1081
 
0.6%
ValueCountFrequency (%)
-4 60634
33.7%
0 64481
35.8%
1 17749
 
9.9%
2 16375
 
9.1%
3 9122
 
5.1%
ValueCountFrequency (%)
9 2604
 
1.4%
8 1081
 
0.6%
5 4074
2.3%
4 3884
2.2%
3 9122
5.1%

QUITSMOK
Real number (ℝ)

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367.3574476
Minimum-4
Maximum999
Zeros0
Zeros (%)0.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:08.218978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median46
Q3888
95-th percentile888
Maximum999
Range1003
Interquartile range (IQR)892

Descriptive statistics

Standard deviation430.4490344
Coefficient of variation (CV)1.171744406
Kurtosis-1.82121013
Mean367.3574476
Median Absolute Deviation (MAD)50
Skewness0.4054408473
Sum66125810
Variance185286.3712
MonotonicityNot monotonic
2023-09-07T18:29:08.375912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 68490
38.0%
-4 60634
33.7%
999 3548
 
2.0%
40 3308
 
1.8%
30 2712
 
1.5%
50 2661
 
1.5%
35 2378
 
1.3%
45 2114
 
1.2%
60 1529
 
0.8%
25 1421
 
0.8%
Other values (85) 31209
17.3%
ValueCountFrequency (%)
-4 60634
33.7%
8 1
 
< 0.1%
9 3
 
< 0.1%
10 9
 
< 0.1%
11 14
 
< 0.1%
ValueCountFrequency (%)
999 3548
 
2.0%
888 68490
38.0%
100 4
 
< 0.1%
99 1
 
< 0.1%
97 1
 
< 0.1%

ALCOCCAS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.582753717
Minimum-4
Maximum9
Zeros5587
Zeros (%)3.1%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:08.494431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.393441933
Coefficient of variation (CV)-0.388930427
Kurtosis14.59809572
Mean-3.582753717
Median Absolute Deviation (MAD)0
Skewness3.539735923
Sum-644910
Variance1.94168042
MonotonicityNot monotonic
2023-09-07T18:29:08.609479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 164291
91.3%
1 9860
 
5.5%
0 5587
 
3.1%
9 266
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 5587
 
3.1%
1 9860
 
5.5%
9 266
 
0.1%
ValueCountFrequency (%)
9 266
 
0.1%
1 9860
 
5.5%
0 5587
 
3.1%
-4 164291
91.3%

ALCFREQ
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.279738228
Minimum-4
Maximum9
Zeros1436
Zeros (%)0.8%
Negative164557
Negative (%)91.4%
Memory size1.4 MiB
2023-09-07T18:29:08.718003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.505317934
Coefficient of variation (CV)-0.7638774073
Kurtosis11.76395192
Mean-3.279738228
Median Absolute Deviation (MAD)0
Skewness3.56038954
Sum-590366
Variance6.276617952
MonotonicityNot monotonic
2023-09-07T18:29:08.836034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 164557
91.4%
8 5587
 
3.1%
4 2498
 
1.4%
3 2485
 
1.4%
2 1854
 
1.0%
1 1534
 
0.9%
0 1436
 
0.8%
9 53
 
< 0.1%
ValueCountFrequency (%)
-4 164557
91.4%
0 1436
 
0.8%
1 1534
 
0.9%
2 1854
 
1.0%
3 2485
 
1.4%
ValueCountFrequency (%)
9 53
 
< 0.1%
8 5587
3.1%
4 2498
1.4%
3 2485
1.4%
2 1854
 
1.0%

CVHATT
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.251383303
Minimum-4
Maximum9
Zeros111537
Zeros (%)62.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:08.945551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.035245657
Coefficient of variation (CV)-1.626396686
Kurtosis-0.1981239794
Mean-1.251383303
Median Absolute Deviation (MAD)0
Skewness-0.2640564127
Sum-225254
Variance4.142224883
MonotonicityNot monotonic
2023-09-07T18:29:09.057075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 111537
62.0%
-4 60634
33.7%
2 6425
 
3.6%
1 1030
 
0.6%
9 378
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 111537
62.0%
1 1030
 
0.6%
2 6425
 
3.6%
9 378
 
0.2%
ValueCountFrequency (%)
9 378
 
0.2%
2 6425
 
3.6%
1 1030
 
0.6%
0 111537
62.0%
-4 60634
33.7%

HATTMULT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.980622653
Minimum-4
Maximum9
Zeros408
Zeros (%)0.2%
Negative164386
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:09.167590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.332322429
Coefficient of variation (CV)-1.117995405
Kurtosis6.918810376
Mean-2.980622653
Median Absolute Deviation (MAD)0
Skewness2.982314452
Sum-536524
Variance11.10437277
MonotonicityNot monotonic
2023-09-07T18:29:09.284110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164386
91.3%
8 15070
 
8.4%
0 408
 
0.2%
1 100
 
0.1%
9 40
 
< 0.1%
ValueCountFrequency (%)
-4 164386
91.3%
0 408
 
0.2%
1 100
 
0.1%
8 15070
 
8.4%
9 40
 
< 0.1%
ValueCountFrequency (%)
9 40
 
< 0.1%
8 15070
 
8.4%
1 100
 
0.1%
0 408
 
0.2%
-4 164386
91.3%

HATTYEAR
Real number (ℝ)

Distinct51
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean749.4943612
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative164386
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:09.424713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2469.690674
Coefficient of variation (CV)3.295142434
Kurtosis6.953349746
Mean749.4943612
Median Absolute Deviation (MAD)0
Skewness2.989699139
Sum134911983
Variance6099372.026
MonotonicityNot monotonic
2023-09-07T18:29:09.582831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 164386
91.3%
8888 15070
 
8.4%
9999 66
 
< 0.1%
2015 42
 
< 0.1%
2014 26
 
< 0.1%
2013 24
 
< 0.1%
2008 24
 
< 0.1%
2016 23
 
< 0.1%
2011 22
 
< 0.1%
2006 22
 
< 0.1%
Other values (41) 299
 
0.2%
ValueCountFrequency (%)
-4 164386
91.3%
1958 1
 
< 0.1%
1963 1
 
< 0.1%
1965 1
 
< 0.1%
1969 1
 
< 0.1%
ValueCountFrequency (%)
9999 66
 
< 0.1%
8888 15070
8.4%
2023 1
 
< 0.1%
2022 1
 
< 0.1%
2021 8
 
< 0.1%

CVAFIB
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.244994556
Minimum-4
Maximum9
Zeros108566
Zeros (%)60.3%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:09.706365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.050380897
Coefficient of variation (CV)-1.646899488
Kurtosis0.3179598312
Mean-1.244994556
Median Absolute Deviation (MAD)0
Skewness-0.1672772948
Sum-224104
Variance4.204061822
MonotonicityNot monotonic
2023-09-07T18:29:09.822391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 108566
60.3%
-4 60634
33.7%
1 7166
 
4.0%
2 3068
 
1.7%
9 570
 
0.3%
ValueCountFrequency (%)
-4 60634
33.7%
0 108566
60.3%
1 7166
 
4.0%
2 3068
 
1.7%
9 570
 
0.3%
ValueCountFrequency (%)
9 570
 
0.3%
2 3068
 
1.7%
1 7166
 
4.0%
0 108566
60.3%
-4 60634
33.7%

CVANGIO
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.252477723
Minimum-4
Maximum9
Zeros110099
Zeros (%)61.2%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:09.927907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.016609427
Coefficient of variation (CV)-1.610096045
Kurtosis-0.7268531961
Mean-1.252477723
Median Absolute Deviation (MAD)0
Skewness-0.3888346741
Sum-225451
Variance4.066713582
MonotonicityNot monotonic
2023-09-07T18:29:10.041426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 110099
61.2%
-4 60634
33.7%
2 6166
 
3.4%
1 2899
 
1.6%
9 206
 
0.1%
ValueCountFrequency (%)
-4 60634
33.7%
0 110099
61.2%
1 2899
 
1.6%
2 6166
 
3.4%
9 206
 
0.1%
ValueCountFrequency (%)
9 206
 
0.1%
2 6166
 
3.4%
1 2899
 
1.6%
0 110099
61.2%
-4 60634
33.7%

CVBYPASS
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.283293705
Minimum-4
Maximum9
Zeros113774
Zeros (%)63.2%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:10.145945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.98237222
Coefficient of variation (CV)-1.544753327
Kurtosis-0.7683590121
Mean-1.283293705
Median Absolute Deviation (MAD)0
Skewness-0.4326426103
Sum-230998
Variance3.929799619
MonotonicityNot monotonic
2023-09-07T18:29:10.259975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 113774
63.2%
-4 60634
33.7%
2 4478
 
2.5%
1 935
 
0.5%
9 183
 
0.1%
ValueCountFrequency (%)
-4 60634
33.7%
0 113774
63.2%
1 935
 
0.5%
2 4478
 
2.5%
9 183
 
0.1%
ValueCountFrequency (%)
9 183
 
0.1%
2 4478
 
2.5%
1 935
 
0.5%
0 113774
63.2%
-4 60634
33.7%

CVPACDEF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.643930135
Minimum-4
Maximum9
Zeros15337
Zeros (%)8.5%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:10.364492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.172167831
Coefficient of variation (CV)-0.3216768124
Kurtosis13.21521351
Mean-3.643930135
Median Absolute Deviation (MAD)0
Skewness3.362686772
Sum-655922
Variance1.373977423
MonotonicityNot monotonic
2023-09-07T18:29:10.478021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15337
 
8.5%
1 238
 
0.1%
9 104
 
0.1%
2 34
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15337
 
8.5%
1 238
 
0.1%
2 34
 
< 0.1%
9 104
 
0.1%
ValueCountFrequency (%)
9 104
 
0.1%
2 34
 
< 0.1%
1 238
 
0.1%
0 15337
 
8.5%
-4 164291
91.3%

CVPACE
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.668324037
Minimum-4
Maximum9
Zeros99494
Zeros (%)55.3%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:29:10.586580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.015353243
Coefficient of variation (CV)-1.208010673
Kurtosis-1.609442463
Mean-1.668324037
Median Absolute Deviation (MAD)0
Skewness-0.2286538734
Sum-300305
Variance4.061648695
MonotonicityNot monotonic
2023-09-07T18:29:10.698068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 99494
55.3%
-4 76347
42.4%
1 3698
 
2.1%
2 400
 
0.2%
9 65
 
< 0.1%
ValueCountFrequency (%)
-4 76347
42.4%
0 99494
55.3%
1 3698
 
2.1%
2 400
 
0.2%
9 65
 
< 0.1%
ValueCountFrequency (%)
9 65
 
< 0.1%
2 400
 
0.2%
1 3698
 
2.1%
0 99494
55.3%
-4 76347
42.4%

CVCHF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.302954379
Minimum-4
Maximum9
Zeros115306
Zeros (%)64.1%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:10.801105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.970699732
Coefficient of variation (CV)-1.512485597
Kurtosis-0.2325751648
Mean-1.302954379
Median Absolute Deviation (MAD)0
Skewness-0.3589111255
Sum-234537
Variance3.883657433
MonotonicityNot monotonic
2023-09-07T18:29:10.913632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 115306
64.1%
-4 60634
33.7%
1 2460
 
1.4%
2 1271
 
0.7%
9 333
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 115306
64.1%
1 2460
 
1.4%
2 1271
 
0.7%
9 333
 
0.2%
ValueCountFrequency (%)
9 333
 
0.2%
2 1271
 
0.7%
1 2460
 
1.4%
0 115306
64.1%
-4 60634
33.7%

CVANGINA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.641369081
Minimum-4
Maximum9
Zeros15134
Zeros (%)8.4%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:11.021658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.182660337
Coefficient of variation (CV)-0.3247845276
Kurtosis13.30476701
Mean-3.641369081
Median Absolute Deviation (MAD)0
Skewness3.380398828
Sum-655461
Variance1.398685472
MonotonicityNot monotonic
2023-09-07T18:29:11.137183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15134
 
8.4%
2 276
 
0.2%
1 197
 
0.1%
9 106
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15134
 
8.4%
1 197
 
0.1%
2 276
 
0.2%
9 106
 
0.1%
ValueCountFrequency (%)
9 106
 
0.1%
2 276
 
0.2%
1 197
 
0.1%
0 15134
 
8.4%
-4 164291
91.3%

CVHVALVE
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.644063465
Minimum-4
Maximum9
Zeros15434
Zeros (%)8.6%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:11.245698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.172307846
Coefficient of variation (CV)-0.3217034656
Kurtosis13.36637218
Mean-3.644063465
Median Absolute Deviation (MAD)0
Skewness3.373409426
Sum-655946
Variance1.374305685
MonotonicityNot monotonic
2023-09-07T18:29:11.360214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15434
 
8.6%
9 106
 
0.1%
2 91
 
0.1%
1 82
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15434
 
8.6%
1 82
 
< 0.1%
2 91
 
0.1%
9 106
 
0.1%
ValueCountFrequency (%)
9 106
 
0.1%
2 91
 
0.1%
1 82
 
< 0.1%
0 15434
 
8.6%
-4 164291
91.3%

CVOTHR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.208745361
Minimum-4
Maximum9
Zeros103863
Zeros (%)57.7%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:11.469730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.07889718
Coefficient of variation (CV)-1.719880173
Kurtosis-0.04204290706
Mean-1.208745361
Median Absolute Deviation (MAD)0
Skewness-0.2082550348
Sum-217579
Variance4.321813487
MonotonicityNot monotonic
2023-09-07T18:29:11.582245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 103863
57.7%
-4 60634
33.7%
1 9424
 
5.2%
2 5602
 
3.1%
9 481
 
0.3%
ValueCountFrequency (%)
-4 60634
33.7%
0 103863
57.7%
1 9424
 
5.2%
2 5602
 
3.1%
9 481
 
0.3%
ValueCountFrequency (%)
9 481
 
0.3%
2 5602
 
3.1%
1 9424
 
5.2%
0 103863
57.7%
-4 60634
33.7%

CBSTROKE
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.257338726
Minimum-4
Maximum9
Zeros112114
Zeros (%)62.3%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:11.689763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.033651817
Coefficient of variation (CV)-1.617425579
Kurtosis0.004470375966
Mean-1.257338726
Median Absolute Deviation (MAD)0
Skewness-0.2297063013
Sum-226326
Variance4.135739713
MonotonicityNot monotonic
2023-09-07T18:29:11.800278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 112114
62.3%
-4 60634
33.7%
2 5418
 
3.0%
1 1396
 
0.8%
9 442
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 112114
62.3%
1 1396
 
0.8%
2 5418
 
3.0%
9 442
 
0.2%
ValueCountFrequency (%)
9 442
 
0.2%
2 5418
 
3.0%
1 1396
 
0.8%
0 112114
62.3%
-4 60634
33.7%

STROKMUL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.968039599
Minimum-4
Maximum9
Zeros271
Zeros (%)0.2%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:11.906774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.355507375
Coefficient of variation (CV)-1.1305467
Kurtosis6.771651079
Mean-2.968039599
Median Absolute Deviation (MAD)0
Skewness2.95844721
Sum-534259
Variance11.25942974
MonotonicityNot monotonic
2023-09-07T18:29:12.027812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
8 15185
 
8.4%
0 271
 
0.2%
9 146
 
0.1%
1 111
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 271
 
0.2%
1 111
 
0.1%
8 15185
 
8.4%
9 146
 
0.1%
ValueCountFrequency (%)
9 146
 
0.1%
8 15185
 
8.4%
1 111
 
0.1%
0 271
 
0.2%
-4 164291
91.3%

NACCSTYR
Real number (ℝ)

Distinct69
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8684.098231
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative625
Negative (%)0.3%
Memory size1.4 MiB
2023-09-07T18:29:12.419386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile8888
Q18888
median8888
Q38888
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1226.000932
Coefficient of variation (CV)0.1411776905
Kurtosis29.20493091
Mean8684.098231
Median Absolute Deviation (MAD)0
Skewness-5.520033261
Sum1563172418
Variance1503078.286
MonotonicityNot monotonic
2023-09-07T18:29:12.573435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 173006
96.1%
9999 1593
 
0.9%
-4 625
 
0.3%
2005 370
 
0.2%
2004 364
 
0.2%
2003 349
 
0.2%
2006 336
 
0.2%
2002 275
 
0.2%
2000 239
 
0.1%
2007 229
 
0.1%
Other values (59) 2618
 
1.5%
ValueCountFrequency (%)
-4 625
0.3%
1938 7
 
< 0.1%
1944 1
 
< 0.1%
1956 8
 
< 0.1%
1958 1
 
< 0.1%
ValueCountFrequency (%)
9999 1593
 
0.9%
8888 173006
96.1%
2023 1
 
< 0.1%
2022 5
 
< 0.1%
2021 23
 
< 0.1%

CBTIA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.221000644
Minimum-4
Maximum9
Zeros111072
Zeros (%)61.7%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:12.686950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.128919622
Coefficient of variation (CV)-1.743585994
Kurtosis1.505087719
Mean-1.221000644
Median Absolute Deviation (MAD)0
Skewness0.1690126206
Sum-219785
Variance4.532298758
MonotonicityNot monotonic
2023-09-07T18:29:12.800467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 111072
61.7%
-4 60634
33.7%
2 5541
 
3.1%
1 1643
 
0.9%
9 1114
 
0.6%
ValueCountFrequency (%)
-4 60634
33.7%
0 111072
61.7%
1 1643
 
0.9%
2 5541
 
3.1%
9 1114
 
0.6%
ValueCountFrequency (%)
9 1114
 
0.6%
2 5541
 
3.1%
1 1643
 
0.9%
0 111072
61.7%
-4 60634
33.7%

TIAMULT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.970822871
Minimum-4
Maximum9
Zeros307
Zeros (%)0.2%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:12.904997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.35022146
Coefficient of variation (CV)-1.12770825
Kurtosis6.819428885
Mean-2.970822871
Median Absolute Deviation (MAD)0
Skewness2.965679135
Sum-534760
Variance11.22398383
MonotonicityNot monotonic
2023-09-07T18:29:13.017528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
8 15002
 
8.3%
0 307
 
0.2%
9 248
 
0.1%
1 156
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 307
 
0.2%
1 156
 
0.1%
8 15002
 
8.3%
9 248
 
0.1%
ValueCountFrequency (%)
9 248
 
0.1%
8 15002
 
8.3%
1 156
 
0.1%
0 307
 
0.2%
-4 164291
91.3%

NACCTIYR
Real number (ℝ)

Distinct64
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8566.892314
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative1531
Negative (%)0.9%
Memory size1.4 MiB
2023-09-07T18:29:13.157557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile8888
Q18888
median8888
Q38888
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1517.971855
Coefficient of variation (CV)0.1771904909
Kurtosis18.40317479
Mean8566.892314
Median Absolute Deviation (MAD)0
Skewness-4.466627669
Sum1542074884
Variance2304238.552
MonotonicityNot monotonic
2023-09-07T18:29:13.315103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 171007
95.0%
-4 1531
 
0.9%
9999 903
 
0.5%
2005 624
 
0.3%
2006 498
 
0.3%
2004 468
 
0.3%
2003 370
 
0.2%
2002 327
 
0.2%
2007 316
 
0.2%
2000 308
 
0.2%
Other values (54) 3652
 
2.0%
ValueCountFrequency (%)
-4 1531
0.9%
1900 4
 
< 0.1%
1944 4
 
< 0.1%
1955 8
 
< 0.1%
1957 2
 
< 0.1%
ValueCountFrequency (%)
9999 903
 
0.5%
8888 171007
95.0%
2022 6
 
< 0.1%
2021 18
 
< 0.1%
2020 16
 
< 0.1%

PD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.314954112
Minimum-4
Maximum9
Zeros116403
Zeros (%)64.7%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:13.431138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.958703932
Coefficient of variation (CV)-1.489560673
Kurtosis-0.1168762344
Mean-1.314954112
Median Absolute Deviation (MAD)0
Skewness-0.3568726751
Sum-236697
Variance3.836521094
MonotonicityNot monotonic
2023-09-07T18:29:13.548665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 116403
64.7%
-4 60634
33.7%
1 2608
 
1.4%
9 359
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 116403
64.7%
1 2608
 
1.4%
9 359
 
0.2%
ValueCountFrequency (%)
9 359
 
0.2%
1 2608
 
1.4%
0 116403
64.7%
-4 60634
33.7%

PDYR
Real number (ℝ)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5801.898191
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:13.689184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median8888
Q38888
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)8892

Descriptive statistics

Standard deviation4212.491676
Coefficient of variation (CV)0.7260540494
Kurtosis-1.587710073
Mean5801.898191
Median Absolute Deviation (MAD)0
Skewness-0.6355684025
Sum1044364882
Variance17745086.12
MonotonicityNot monotonic
2023-09-07T18:29:13.843288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 116762
64.9%
-4 60634
33.7%
2003 202
 
0.1%
9999 200
 
0.1%
2006 199
 
0.1%
2005 185
 
0.1%
2007 178
 
0.1%
2004 169
 
0.1%
2001 131
 
0.1%
2008 123
 
0.1%
Other values (40) 1221
 
0.7%
ValueCountFrequency (%)
-4 60634
33.7%
1936 1
 
< 0.1%
1966 2
 
< 0.1%
1970 1
 
< 0.1%
1974 7
 
< 0.1%
ValueCountFrequency (%)
9999 200
 
0.1%
8888 116762
64.9%
2022 2
 
< 0.1%
2021 9
 
< 0.1%
2020 10
 
< 0.1%

PDOTHR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.305465434
Minimum-4
Maximum9
Zeros115295
Zeros (%)64.1%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:13.958805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.975062981
Coefficient of variation (CV)-1.512918634
Kurtosis0.113932741
Mean-1.305465434
Median Absolute Deviation (MAD)0
Skewness-0.295713603
Sum-234989
Variance3.90087378
MonotonicityNot monotonic
2023-09-07T18:29:14.071322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 115295
64.1%
-4 60634
33.7%
1 3641
 
2.0%
9 434
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 115295
64.1%
1 3641
 
2.0%
9 434
 
0.2%
ValueCountFrequency (%)
9 434
 
0.2%
1 3641
 
2.0%
0 115295
64.1%
-4 60634
33.7%

PDOTHRYR
Real number (ℝ)

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5776.863831
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:14.212844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median8888
Q38888
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)8892

Descriptive statistics

Standard deviation4216.404623
Coefficient of variation (CV)0.729877793
Kurtosis-1.605175689
Mean5776.863831
Median Absolute Deviation (MAD)0
Skewness-0.6193111343
Sum1039858597
Variance17778067.95
MonotonicityNot monotonic
2023-09-07T18:29:14.368886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 115729
64.3%
-4 60634
33.7%
9999 525
 
0.3%
2007 291
 
0.2%
2008 270
 
0.1%
2009 260
 
0.1%
2006 255
 
0.1%
2005 245
 
0.1%
2010 239
 
0.1%
2011 233
 
0.1%
Other values (46) 1323
 
0.7%
ValueCountFrequency (%)
-4 60634
33.7%
1924 2
 
< 0.1%
1930 1
 
< 0.1%
1935 3
 
< 0.1%
1937 4
 
< 0.1%
ValueCountFrequency (%)
9999 525
 
0.3%
8888 115729
64.3%
2022 13
 
< 0.1%
2021 11
 
< 0.1%
2020 15
 
< 0.1%

SEIZURES
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.289688007
Minimum-4
Maximum9
Zeros115320
Zeros (%)64.1%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:14.487405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.003576214
Coefficient of variation (CV)-1.553535586
Kurtosis0.3266650235
Mean-1.289688007
Median Absolute Deviation (MAD)0
Skewness-0.2105912517
Sum-232149
Variance4.014317644
MonotonicityNot monotonic
2023-09-07T18:29:14.599932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 115320
64.1%
-4 60634
33.7%
2 2225
 
1.2%
1 1311
 
0.7%
9 514
 
0.3%
ValueCountFrequency (%)
-4 60634
33.7%
0 115320
64.1%
1 1311
 
0.7%
2 2225
 
1.2%
9 514
 
0.3%
ValueCountFrequency (%)
9 514
 
0.3%
2 2225
 
1.2%
1 1311
 
0.7%
0 115320
64.1%
-4 60634
33.7%

NACCTBI
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.20486767
Minimum-4
Maximum9
Zeros103275
Zeros (%)57.4%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:14.703448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.135041529
Coefficient of variation (CV)-1.772013295
Kurtosis1.606865817
Mean-1.20486767
Median Absolute Deviation (MAD)0
Skewness0.1633727498
Sum-216881
Variance4.558402332
MonotonicityNot monotonic
2023-09-07T18:29:14.817976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 103275
57.4%
-4 60634
33.7%
1 14900
 
8.3%
9 1195
 
0.7%
ValueCountFrequency (%)
-4 60634
33.7%
0 103275
57.4%
1 14900
 
8.3%
9 1195
 
0.7%
ValueCountFrequency (%)
9 1195
 
0.7%
1 14900
 
8.3%
0 103275
57.4%
-4 60634
33.7%

TBI
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.61333637
Minimum-4
Maximum9
Zeros12905
Zeros (%)7.2%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:14.923003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.303349805
Coefficient of variation (CV)-0.3607053624
Kurtosis16.72443997
Mean-3.61333637
Median Absolute Deviation (MAD)0
Skewness3.699103319
Sum-650415
Variance1.698720714
MonotonicityNot monotonic
2023-09-07T18:29:15.036528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 12905
 
7.2%
2 2133
 
1.2%
1 449
 
0.2%
9 226
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 12905
 
7.2%
1 449
 
0.2%
2 2133
 
1.2%
9 226
 
0.1%
ValueCountFrequency (%)
9 226
 
0.1%
2 2133
 
1.2%
1 449
 
0.2%
0 12905
 
7.2%
-4 164291
91.3%

TBIBRIEF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.636069198
Minimum-4
Maximum9
Zeros14040
Zeros (%)7.8%
Negative164517
Negative (%)91.4%
Memory size1.4 MiB
2023-09-07T18:29:15.147591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.230753412
Coefficient of variation (CV)-0.3384845954
Kurtosis18.4711915
Mean-3.636069198
Median Absolute Deviation (MAD)0
Skewness3.766122898
Sum-654507
Variance1.51475396
MonotonicityNot monotonic
2023-09-07T18:29:15.268621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164517
91.4%
0 14040
 
7.8%
1 887
 
0.5%
2 338
 
0.2%
9 222
 
0.1%
ValueCountFrequency (%)
-4 164517
91.4%
0 14040
 
7.8%
1 887
 
0.5%
2 338
 
0.2%
9 222
 
0.1%
ValueCountFrequency (%)
9 222
 
0.1%
2 338
 
0.2%
1 887
 
0.5%
0 14040
 
7.8%
-4 164517
91.4%

TRAUMBRF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.552654385
Minimum-4
Maximum9
Zeros93642
Zeros (%)52.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:29:15.381143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.234384037
Coefficient of variation (CV)-1.439073665
Kurtosis0.6669162483
Mean-1.552654385
Median Absolute Deviation (MAD)0
Skewness0.3661149847
Sum-279484
Variance4.992472024
MonotonicityNot monotonic
2023-09-07T18:29:15.489654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 93642
52.0%
-4 76347
42.4%
2 8265
 
4.6%
9 953
 
0.5%
1 797
 
0.4%
ValueCountFrequency (%)
-4 76347
42.4%
0 93642
52.0%
1 797
 
0.4%
2 8265
 
4.6%
9 953
 
0.5%
ValueCountFrequency (%)
9 953
 
0.5%
2 8265
 
4.6%
1 797
 
0.4%
0 93642
52.0%
-4 76347
42.4%

TBIEXTEN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.640641319
Minimum-4
Maximum9
Zeros14736
Zeros (%)8.2%
Negative164517
Negative (%)91.4%
Memory size1.4 MiB
2023-09-07T18:29:15.594173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.216876881
Coefficient of variation (CV)-0.3342479455
Kurtosis19.73225605
Mean-3.640641319
Median Absolute Deviation (MAD)0
Skewness3.833200041
Sum-655330
Variance1.480789344
MonotonicityNot monotonic
2023-09-07T18:29:15.716694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164517
91.4%
0 14736
 
8.2%
1 437
 
0.2%
9 239
 
0.1%
2 75
 
< 0.1%
ValueCountFrequency (%)
-4 164517
91.4%
0 14736
 
8.2%
1 437
 
0.2%
2 75
 
< 0.1%
9 239
 
0.1%
ValueCountFrequency (%)
9 239
 
0.1%
2 75
 
< 0.1%
1 437
 
0.2%
0 14736
 
8.2%
-4 164517
91.4%

TRAUMEXT
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.624502789
Minimum-4
Maximum9
Zeros99313
Zeros (%)55.2%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:29:15.827236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.125197009
Coefficient of variation (CV)-1.308213826
Kurtosis0.2611637812
Mean-1.624502789
Median Absolute Deviation (MAD)0
Skewness0.2008716398
Sum-292417
Variance4.516462326
MonotonicityNot monotonic
2023-09-07T18:29:15.945750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 99313
55.2%
-4 76347
42.4%
2 3451
 
1.9%
9 647
 
0.4%
1 246
 
0.1%
ValueCountFrequency (%)
-4 76347
42.4%
0 99313
55.2%
1 246
 
0.1%
2 3451
 
1.9%
9 647
 
0.4%
ValueCountFrequency (%)
9 647
 
0.4%
2 3451
 
1.9%
1 246
 
0.1%
0 99313
55.2%
-4 76347
42.4%

TBIWOLOS
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.638063599
Minimum-4
Maximum9
Zeros14191
Zeros (%)7.9%
Negative164517
Negative (%)91.4%
Memory size1.4 MiB
2023-09-07T18:29:16.050859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.21658311
Coefficient of variation (CV)-0.3344040247
Kurtosis16.44269497
Mean-3.638063599
Median Absolute Deviation (MAD)0
Skewness3.627346662
Sum-654866
Variance1.480074462
MonotonicityNot monotonic
2023-09-07T18:29:16.169379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164517
91.4%
0 14191
 
7.9%
1 587
 
0.3%
2 538
 
0.3%
9 171
 
0.1%
ValueCountFrequency (%)
-4 164517
91.4%
0 14191
 
7.9%
1 587
 
0.3%
2 538
 
0.3%
9 171
 
0.1%
ValueCountFrequency (%)
9 171
 
0.1%
2 538
 
0.3%
1 587
 
0.3%
0 14191
 
7.9%
-4 164517
91.4%

TRAUMCHR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.669101798
Minimum-4
Maximum9
Zeros102617
Zeros (%)57.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:29:16.275899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.051967997
Coefficient of variation (CV)-1.22938457
Kurtosis-0.202760789
Mean-1.669101798
Median Absolute Deviation (MAD)0
Skewness0.04844027819
Sum-300445
Variance4.210572659
MonotonicityNot monotonic
2023-09-07T18:29:16.387036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 102617
57.0%
-4 76347
42.4%
9 448
 
0.2%
2 319
 
0.2%
1 273
 
0.2%
ValueCountFrequency (%)
-4 76347
42.4%
0 102617
57.0%
1 273
 
0.2%
2 319
 
0.2%
9 448
 
0.2%
ValueCountFrequency (%)
9 448
 
0.2%
2 319
 
0.2%
1 273
 
0.2%
0 102617
57.0%
-4 76347
42.4%

TBIYEAR
Real number (ℝ)

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean689.1823626
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:16.523656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8888
Maximum9999
Range10003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2352.76442
Coefficient of variation (CV)3.413848856
Kurtosis8.253393084
Mean689.1823626
Median Absolute Deviation (MAD)0
Skewness3.189002584
Sum124055582
Variance5535500.417
MonotonicityNot monotonic
2023-09-07T18:29:16.678179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 164291
91.3%
8888 13131
 
7.3%
9999 358
 
0.2%
2015 86
 
< 0.1%
2016 71
 
< 0.1%
2014 68
 
< 0.1%
2017 67
 
< 0.1%
2010 62
 
< 0.1%
2018 57
 
< 0.1%
1980 51
 
< 0.1%
Other values (81) 1762
 
1.0%
ValueCountFrequency (%)
-4 164291
91.3%
1930 1
 
< 0.1%
1934 1
 
< 0.1%
1936 1
 
< 0.1%
1938 3
 
< 0.1%
ValueCountFrequency (%)
9999 358
 
0.2%
8888 13131
7.3%
2022 17
 
< 0.1%
2021 33
 
< 0.1%
2020 37
 
< 0.1%

NCOTHR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.624802782
Minimum-4
Maximum9
Zeros97359
Zeros (%)54.1%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:29:16.796412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.102989985
Coefficient of variation (CV)-1.294304766
Kurtosis-0.3984036135
Mean-1.624802782
Median Absolute Deviation (MAD)0
Skewness0.06083787915
Sum-292471
Variance4.422566877
MonotonicityNot monotonic
2023-09-07T18:29:16.906934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 97359
54.1%
-4 76347
42.4%
2 3251
 
1.8%
1 2626
 
1.5%
9 421
 
0.2%
ValueCountFrequency (%)
-4 76347
42.4%
0 97359
54.1%
1 2626
 
1.5%
2 3251
 
1.8%
9 421
 
0.2%
ValueCountFrequency (%)
9 421
 
0.2%
2 3251
 
1.8%
1 2626
 
1.5%
0 97359
54.1%
-4 76347
42.4%

DIABETES
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.228467145
Minimum-4
Maximum9
Zeros102520
Zeros (%)57.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:17.018455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.043073347
Coefficient of variation (CV)-1.663107845
Kurtosis-0.2263624428
Mean-1.228467145
Median Absolute Deviation (MAD)0
Skewness-0.3002645682
Sum-221129
Variance4.174148701
MonotonicityNot monotonic
2023-09-07T18:29:17.136495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 102520
57.0%
-4 60634
33.7%
1 15086
 
8.4%
2 1365
 
0.8%
9 399
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 102520
57.0%
1 15086
 
8.4%
2 1365
 
0.8%
9 399
 
0.2%
ValueCountFrequency (%)
9 399
 
0.2%
2 1365
 
0.8%
1 15086
 
8.4%
0 102520
57.0%
-4 60634
33.7%

DIABTYPE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.965922979
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:17.252587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median8
Q38
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.721885252
Coefficient of variation (CV)1.442762576
Kurtosis-1.545554658
Mean3.965922979
Median Absolute Deviation (MAD)0
Skewness-0.654947805
Sum713882
Variance32.73997084
MonotonicityNot monotonic
2023-09-07T18:29:17.368104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 102919
57.2%
-4 60634
33.7%
9 14304
 
7.9%
2 1969
 
1.1%
3 107
 
0.1%
1 71
 
< 0.1%
ValueCountFrequency (%)
-4 60634
33.7%
1 71
 
< 0.1%
2 1969
 
1.1%
3 107
 
0.1%
8 102919
57.2%
ValueCountFrequency (%)
9 14304
 
7.9%
8 102919
57.2%
3 107
 
0.1%
2 1969
 
1.1%
1 71
 
< 0.1%

HYPERTEN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9284627008
Minimum-4
Maximum9
Zeros53080
Zeros (%)29.5%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:17.479623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.274872755
Coefficient of variation (CV)-2.450149858
Kurtosis-0.7864217528
Mean-0.9284627008
Median Absolute Deviation (MAD)1
Skewness-0.3477362205
Sum-167127
Variance5.17504605
MonotonicityNot monotonic
2023-09-07T18:29:17.592985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 60634
33.7%
1 60034
33.4%
0 53080
29.5%
2 5847
 
3.2%
9 409
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 53080
29.5%
1 60034
33.4%
2 5847
 
3.2%
9 409
 
0.2%
ValueCountFrequency (%)
9 409
 
0.2%
2 5847
 
3.2%
1 60034
33.4%
0 53080
29.5%
-4 60634
33.7%

HYPERCHO
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8786304749
Minimum-4
Maximum9
Zeros51248
Zeros (%)28.5%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:17.700438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.368837743
Coefficient of variation (CV)-2.696056888
Kurtosis0.1016049316
Mean-0.8786304749
Median Absolute Deviation (MAD)1
Skewness-0.07114553913
Sum-158157
Variance5.611392254
MonotonicityNot monotonic
2023-09-07T18:29:17.812965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 60634
33.7%
1 59614
33.1%
0 51248
28.5%
2 7401
 
4.1%
9 1107
 
0.6%
ValueCountFrequency (%)
-4 60634
33.7%
0 51248
28.5%
1 59614
33.1%
2 7401
 
4.1%
9 1107
 
0.6%
ValueCountFrequency (%)
9 1107
 
0.6%
2 7401
 
4.1%
1 59614
33.1%
0 51248
28.5%
-4 60634
33.7%

B12DEF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.174507233
Minimum-4
Maximum9
Zeros108769
Zeros (%)60.4%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:17.920989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.255444176
Coefficient of variation (CV)-1.9203323
Kurtosis2.967223654
Mean-1.174507233
Median Absolute Deviation (MAD)0
Skewness0.6062120109
Sum-211416
Variance5.087028432
MonotonicityNot monotonic
2023-09-07T18:29:18.039605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 108769
60.4%
-4 60634
33.7%
1 5293
 
2.9%
2 3135
 
1.7%
9 2173
 
1.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 108769
60.4%
1 5293
 
2.9%
2 3135
 
1.7%
9 2173
 
1.2%
ValueCountFrequency (%)
9 2173
 
1.2%
2 3135
 
1.7%
1 5293
 
2.9%
0 108769
60.4%
-4 60634
33.7%

THYROID
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.147896713
Minimum-4
Maximum9
Zeros94373
Zeros (%)52.4%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:18.146120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.15947615
Coefficient of variation (CV)-1.881246043
Kurtosis0.6326815828
Mean-1.147896713
Median Absolute Deviation (MAD)0
Skewness-0.01743260486
Sum-206626
Variance4.663337243
MonotonicityNot monotonic
2023-09-07T18:29:18.527853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 94373
52.4%
-4 60634
33.7%
1 20174
 
11.2%
2 3953
 
2.2%
9 870
 
0.5%
ValueCountFrequency (%)
-4 60634
33.7%
0 94373
52.4%
1 20174
 
11.2%
2 3953
 
2.2%
9 870
 
0.5%
ValueCountFrequency (%)
9 870
 
0.5%
2 3953
 
2.2%
1 20174
 
11.2%
0 94373
52.4%
-4 60634
33.7%

ARTHRIT
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.598003378
Minimum-4
Maximum9
Zeros7887
Zeros (%)4.4%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:18.633367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337054722
Coefficient of variation (CV)-0.3716101908
Kurtosis13.63821707
Mean-3.598003378
Median Absolute Deviation (MAD)0
Skewness3.460926168
Sum-647655
Variance1.787715329
MonotonicityNot monotonic
2023-09-07T18:29:18.746881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 7887
 
4.4%
1 7459
 
4.1%
9 188
 
0.1%
2 179
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 7887
 
4.4%
1 7459
 
4.1%
2 179
 
0.1%
9 188
 
0.1%
ValueCountFrequency (%)
9 188
 
0.1%
2 179
 
0.1%
1 7459
 
4.1%
0 7887
 
4.4%
-4 164291
91.3%

ARTHTYPE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.189740228
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:18.852401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.769290528
Coefficient of variation (CV)-0.8681868523
Kurtosis10.43030831
Mean-3.189740228
Median Absolute Deviation (MAD)0
Skewness3.419021214
Sum-574166
Variance7.66897003
MonotonicityNot monotonic
2023-09-07T18:29:18.966466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 164291
91.3%
8 8075
 
4.5%
2 6672
 
3.7%
9 467
 
0.3%
1 323
 
0.2%
3 176
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
1 323
 
0.2%
2 6672
 
3.7%
3 176
 
0.1%
8 8075
 
4.5%
ValueCountFrequency (%)
9 467
 
0.3%
8 8075
4.5%
3 176
 
0.1%
2 6672
3.7%
1 323
 
0.2%

ARTHUPEX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.617941824
Minimum-4
Maximum8
Zeros11109
Zeros (%)6.2%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:19.072982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.26696549
Coefficient of variation (CV)-0.3501895696
Kurtosis12.82649954
Mean-3.617941824
Median Absolute Deviation (MAD)0
Skewness3.405386383
Sum-651244
Variance1.605201553
MonotonicityNot monotonic
2023-09-07T18:29:19.191519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 164291
91.3%
0 11109
 
6.2%
1 4416
 
2.5%
8 188
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 11109
 
6.2%
1 4416
 
2.5%
8 188
 
0.1%
ValueCountFrequency (%)
8 188
 
0.1%
1 4416
 
2.5%
0 11109
 
6.2%
-4 164291
91.3%

ARTHLOEX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.615408546
Minimum-4
Maximum8
Zeros10653
Zeros (%)5.9%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:19.302993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.275170195
Coefficient of variation (CV)-0.352704315
Kurtosis12.66764496
Mean-3.615408546
Median Absolute Deviation (MAD)0
Skewness3.396574794
Sum-650788
Variance1.626059026
MonotonicityNot monotonic
2023-09-07T18:29:19.414516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 164291
91.3%
0 10653
 
5.9%
1 4872
 
2.7%
8 188
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 10653
 
5.9%
1 4872
 
2.7%
8 188
 
0.1%
ValueCountFrequency (%)
8 188
 
0.1%
1 4872
 
2.7%
0 10653
 
5.9%
-4 164291
91.3%

ARTHSPIN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.625924979
Minimum-4
Maximum8
Zeros12546
Zeros (%)7.0%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:19.520051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.240721207
Coefficient of variation (CV)-0.342180606
Kurtosis13.34186023
Mean-3.625924979
Median Absolute Deviation (MAD)0
Skewness3.431706668
Sum-652681
Variance1.539389113
MonotonicityNot monotonic
2023-09-07T18:29:19.633072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 164291
91.3%
0 12546
 
7.0%
1 2979
 
1.7%
8 188
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 12546
 
7.0%
1 2979
 
1.7%
8 188
 
0.1%
ValueCountFrequency (%)
8 188
 
0.1%
1 2979
 
1.7%
0 12546
 
7.0%
-4 164291
91.3%

ARTHUNK
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.641257972
Minimum-4
Maximum8
Zeros15306
Zeros (%)8.5%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:19.740586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.188540178
Coefficient of variation (CV)-0.3264092208
Kurtosis14.39407674
Mean-3.641257972
Median Absolute Deviation (MAD)0
Skewness3.47385622
Sum-655441
Variance1.412627754
MonotonicityNot monotonic
2023-09-07T18:29:19.853108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 164291
91.3%
0 15306
 
8.5%
1 219
 
0.1%
8 188
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15306
 
8.5%
1 219
 
0.1%
8 188
 
0.1%
ValueCountFrequency (%)
8 188
 
0.1%
1 219
 
0.1%
0 15306
 
8.5%
-4 164291
91.3%

INCONTU
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.154424346
Minimum-4
Maximum9
Zeros91588
Zeros (%)50.9%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:19.958623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.105000889
Coefficient of variation (CV)-1.823420388
Kurtosis-0.5631037219
Mean-1.154424346
Median Absolute Deviation (MAD)0
Skewness-0.3218950671
Sum-207801
Variance4.431028741
MonotonicityNot monotonic
2023-09-07T18:29:20.069139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 91588
50.9%
-4 60634
33.7%
1 23167
 
12.9%
2 4281
 
2.4%
9 334
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 91588
50.9%
1 23167
 
12.9%
2 4281
 
2.4%
9 334
 
0.2%
ValueCountFrequency (%)
9 334
 
0.2%
2 4281
 
2.4%
1 23167
 
12.9%
0 91588
50.9%
-4 60634
33.7%

INCONTF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.267116286
Minimum-4
Maximum9
Zeros109232
Zeros (%)60.7%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:20.176657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.00285696
Coefficient of variation (CV)-1.580641794
Kurtosis-0.3685571342
Mean-1.267116286
Median Absolute Deviation (MAD)0
Skewness-0.3559931025
Sum-228086
Variance4.011436002
MonotonicityNot monotonic
2023-09-07T18:29:20.293173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 109232
60.7%
-4 60634
33.7%
1 8059
 
4.5%
2 1760
 
1.0%
9 319
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 109232
60.7%
1 8059
 
4.5%
2 1760
 
1.0%
9 319
 
0.2%
ValueCountFrequency (%)
9 319
 
0.2%
2 1760
 
1.0%
1 8059
 
4.5%
0 109232
60.7%
-4 60634
33.7%

APNEA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.600386658
Minimum-4
Maximum9
Zeros12002
Zeros (%)6.7%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:20.401689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.396668976
Coefficient of variation (CV)-0.3879219396
Kurtosis25.79791413
Mean-3.600386658
Median Absolute Deviation (MAD)0
Skewness4.388897319
Sum-648084
Variance1.950684228
MonotonicityNot monotonic
2023-09-07T18:29:20.515783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 12002
 
6.7%
1 2843
 
1.6%
9 643
 
0.4%
2 225
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 12002
 
6.7%
1 2843
 
1.6%
2 225
 
0.1%
9 643
 
0.4%
ValueCountFrequency (%)
9 643
 
0.4%
2 225
 
0.1%
1 2843
 
1.6%
0 12002
 
6.7%
-4 164291
91.3%

RBD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.621969512
Minimum-4
Maximum9
Zeros14513
Zeros (%)8.1%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:20.623303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.308162463
Coefficient of variation (CV)-0.3611743443
Kurtosis26.14718587
Mean-3.621969512
Median Absolute Deviation (MAD)0
Skewness4.332713448
Sum-651969
Variance1.711289031
MonotonicityNot monotonic
2023-09-07T18:29:20.735336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 14513
 
8.1%
1 656
 
0.4%
9 493
 
0.3%
2 51
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 14513
 
8.1%
1 656
 
0.4%
2 51
 
< 0.1%
9 493
 
0.3%
ValueCountFrequency (%)
9 493
 
0.3%
2 51
 
< 0.1%
1 656
 
0.4%
0 14513
 
8.1%
-4 164291
91.3%

INSOMN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.626541632
Minimum-4
Maximum9
Zeros13005
Zeros (%)7.2%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:20.843857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.245984611
Coefficient of variation (CV)-0.3435737784
Kurtosis16.02194044
Mean-3.626541632
Median Absolute Deviation (MAD)0
Skewness3.593199923
Sum-652792
Variance1.552477651
MonotonicityNot monotonic
2023-09-07T18:29:20.956369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 13005
 
7.2%
1 2353
 
1.3%
9 187
 
0.1%
2 168
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 13005
 
7.2%
1 2353
 
1.3%
2 168
 
0.1%
9 187
 
0.1%
ValueCountFrequency (%)
9 187
 
0.1%
2 168
 
0.1%
1 2353
 
1.3%
0 13005
 
7.2%
-4 164291
91.3%

OTHSLEEP
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.635019222
Minimum-4
Maximum9
Zeros14965
Zeros (%)8.3%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:21.065884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.228555983
Coefficient of variation (CV)-0.3379778506
Kurtosis20.0109977
Mean-3.635019222
Median Absolute Deviation (MAD)0
Skewness3.842943729
Sum-654318
Variance1.509349804
MonotonicityNot monotonic
2023-09-07T18:29:21.179401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 14965
 
8.3%
1 456
 
0.3%
9 258
 
0.1%
2 34
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 14965
 
8.3%
1 456
 
0.3%
2 34
 
< 0.1%
9 258
 
0.1%
ValueCountFrequency (%)
9 258
 
0.1%
2 34
 
< 0.1%
1 456
 
0.3%
0 14965
 
8.3%
-4 164291
91.3%

ALCOHOL
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.25726095
Minimum-4
Maximum9
Zeros112156
Zeros (%)62.3%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:21.293916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.029584525
Coefficient of variation (CV)-1.614290594
Kurtosis-0.1598568113
Mean-1.25726095
Median Absolute Deviation (MAD)0
Skewness-0.2634800222
Sum-226312
Variance4.119213346
MonotonicityNot monotonic
2023-09-07T18:29:21.410438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 112156
62.3%
-4 60634
33.7%
2 5922
 
3.3%
1 906
 
0.5%
9 386
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 112156
62.3%
1 906
 
0.5%
2 5922
 
3.3%
9 386
 
0.2%
ValueCountFrequency (%)
9 386
 
0.2%
2 5922
 
3.3%
1 906
 
0.5%
0 112156
62.3%
-4 60634
33.7%

ABUSOTHR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.316165196
Minimum-4
Maximum9
Zeros117609
Zeros (%)65.3%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:21.514952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.958318748
Coefficient of variation (CV)-1.487897381
Kurtosis-0.1965520839
Mean-1.316165196
Median Absolute Deviation (MAD)0
Skewness-0.3638839592
Sum-236915
Variance3.835012319
MonotonicityNot monotonic
2023-09-07T18:29:21.629982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 117609
65.3%
-4 60634
33.7%
2 1196
 
0.7%
9 333
 
0.2%
1 232
 
0.1%
ValueCountFrequency (%)
-4 60634
33.7%
0 117609
65.3%
1 232
 
0.1%
2 1196
 
0.7%
9 333
 
0.2%
ValueCountFrequency (%)
9 333
 
0.2%
2 1196
 
0.7%
1 232
 
0.1%
0 117609
65.3%
-4 60634
33.7%

PTSD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.637663607
Minimum-4
Maximum9
Zeros15082
Zeros (%)8.4%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:21.742497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.209654005
Coefficient of variation (CV)-0.3325359723
Kurtosis17.43606662
Mean-3.637663607
Median Absolute Deviation (MAD)0
Skewness3.662454424
Sum-654794
Variance1.463262811
MonotonicityNot monotonic
2023-09-07T18:29:21.858013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15082
 
8.4%
1 243
 
0.1%
2 195
 
0.1%
9 193
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15082
 
8.4%
1 243
 
0.1%
2 195
 
0.1%
9 193
 
0.1%
ValueCountFrequency (%)
9 193
 
0.1%
2 195
 
0.1%
1 243
 
0.1%
0 15082
 
8.4%
-4 164291
91.3%

BIPOLAR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.642863492
Minimum-4
Maximum9
Zeros15390
Zeros (%)8.5%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:21.966530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.180915226
Coefficient of variation (CV)-0.3241722421
Kurtosis14.78302006
Mean-3.642863492
Median Absolute Deviation (MAD)0
Skewness3.467991433
Sum-655730
Variance1.394560771
MonotonicityNot monotonic
2023-09-07T18:29:22.080044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15390
 
8.5%
1 143
 
0.1%
9 133
 
0.1%
2 47
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15390
 
8.5%
1 143
 
0.1%
2 47
 
< 0.1%
9 133
 
0.1%
ValueCountFrequency (%)
9 133
 
0.1%
2 47
 
< 0.1%
1 143
 
0.1%
0 15390
 
8.5%
-4 164291
91.3%

SCHIZ
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.6434857
Minimum-4
Maximum9
Zeros15392
Zeros (%)8.6%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:22.188344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.176229619
Coefficient of variation (CV)-0.322830859
Kurtosis13.99745587
Mean-3.6434857
Median Absolute Deviation (MAD)0
Skewness3.415193195
Sum-655842
Variance1.383516115
MonotonicityNot monotonic
2023-09-07T18:29:22.302862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15392
 
8.6%
1 146
 
0.1%
9 118
 
0.1%
2 57
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15392
 
8.6%
1 146
 
0.1%
2 57
 
< 0.1%
9 118
 
0.1%
ValueCountFrequency (%)
9 118
 
0.1%
2 57
 
< 0.1%
1 146
 
0.1%
0 15392
 
8.6%
-4 164291
91.3%

DEP2YRS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.093947912
Minimum-4
Maximum9
Zeros82445
Zeros (%)45.8%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:22.408382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.209323179
Coefficient of variation (CV)-2.01958718
Kurtosis0.8278363387
Mean-1.093947912
Median Absolute Deviation (MAD)1
Skewness0.03441937616
Sum-196915
Variance4.881108908
MonotonicityNot monotonic
2023-09-07T18:29:22.520904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 82445
45.8%
-4 60634
33.7%
1 35838
19.9%
9 1087
 
0.6%
ValueCountFrequency (%)
-4 60634
33.7%
0 82445
45.8%
1 35838
19.9%
9 1087
 
0.6%
ValueCountFrequency (%)
9 1087
 
0.6%
1 35838
19.9%
0 82445
45.8%
-4 60634
33.7%

DEPOTHR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.106030977
Minimum-4
Maximum9
Zeros88884
Zeros (%)49.4%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:22.626934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.248474947
Coefficient of variation (CV)-2.032922218
Kurtosis1.749716845
Mean-1.106030977
Median Absolute Deviation (MAD)1
Skewness0.2895098525
Sum-199090
Variance5.055639588
MonotonicityNot monotonic
2023-09-07T18:29:22.741031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 88884
49.4%
-4 60634
33.7%
1 28866
 
16.0%
9 1620
 
0.9%
ValueCountFrequency (%)
-4 60634
33.7%
0 88884
49.4%
1 28866
 
16.0%
9 1620
 
0.9%
ValueCountFrequency (%)
9 1620
 
0.9%
1 28866
 
16.0%
0 88884
49.4%
-4 60634
33.7%

ANXIETY
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.619047355
Minimum-4
Maximum9
Zeros11930
Zeros (%)6.6%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:22.850547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.271493182
Coefficient of variation (CV)-0.3513336681
Kurtosis15.33749316
Mean-3.619047355
Median Absolute Deviation (MAD)0
Skewness3.564356408
Sum-651443
Variance1.616694912
MonotonicityNot monotonic
2023-09-07T18:29:22.964063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 11930
 
6.6%
1 3140
 
1.7%
2 458
 
0.3%
9 185
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 11930
 
6.6%
1 3140
 
1.7%
2 458
 
0.3%
9 185
 
0.1%
ValueCountFrequency (%)
9 185
 
0.1%
2 458
 
0.3%
1 3140
 
1.7%
0 11930
 
6.6%
-4 164291
91.3%

OCD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.64006911
Minimum-4
Maximum9
Zeros15310
Zeros (%)8.5%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:23.074580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.19979887
Coefficient of variation (CV)-0.3296088161
Kurtosis17.39137156
Mean-3.64006911
Median Absolute Deviation (MAD)0
Skewness3.648594065
Sum-655227
Variance1.439517328
MonotonicityNot monotonic
2023-09-07T18:29:23.188118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15310
 
8.5%
9 188
 
0.1%
1 185
 
0.1%
2 30
 
< 0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15310
 
8.5%
1 185
 
0.1%
2 30
 
< 0.1%
9 188
 
0.1%
ValueCountFrequency (%)
9 188
 
0.1%
2 30
 
< 0.1%
1 185
 
0.1%
0 15310
 
8.5%
-4 164291
91.3%

NPSYDEV
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.636446968
Minimum-4
Maximum9
Zeros15028
Zeros (%)8.3%
Negative164291
Negative (%)91.3%
Memory size1.4 MiB
2023-09-07T18:29:23.304617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.218526596
Coefficient of variation (CV)-0.3350871349
Kurtosis18.71340259
Mean-3.636446968
Median Absolute Deviation (MAD)0
Skewness3.750978782
Sum-654575
Variance1.484807064
MonotonicityNot monotonic
2023-09-07T18:29:23.417149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 164291
91.3%
0 15028
 
8.3%
1 349
 
0.2%
9 224
 
0.1%
2 112
 
0.1%
ValueCountFrequency (%)
-4 164291
91.3%
0 15028
 
8.3%
1 349
 
0.2%
2 112
 
0.1%
9 224
 
0.1%
ValueCountFrequency (%)
9 224
 
0.1%
2 112
 
0.1%
1 349
 
0.2%
0 15028
 
8.3%
-4 164291
91.3%

PSYCDIS
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.261605298
Minimum-4
Maximum9
Zeros110435
Zeros (%)61.4%
Negative60634
Negative (%)33.7%
Memory size1.4 MiB
2023-09-07T18:29:23.523653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.02209564
Coefficient of variation (CV)-1.602795774
Kurtosis-0.03743512047
Mean-1.261605298
Median Absolute Deviation (MAD)0
Skewness-0.2634181185
Sum-227094
Variance4.088870777
MonotonicityNot monotonic
2023-09-07T18:29:23.637684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 110435
61.4%
-4 60634
33.7%
1 5417
 
3.0%
2 3091
 
1.7%
9 427
 
0.2%
ValueCountFrequency (%)
-4 60634
33.7%
0 110435
61.4%
1 5417
 
3.0%
2 3091
 
1.7%
9 427
 
0.2%
ValueCountFrequency (%)
9 427
 
0.2%
2 3091
 
1.7%
1 5417
 
3.0%
0 110435
61.4%
-4 60634
33.7%

HEIGHT
Real number (ℝ)

Distinct283
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.53188929
Minimum-4
Maximum88.8
Zeros0
Zeros (%)0.0%
Negative24294
Negative (%)13.5%
Memory size1.4 MiB
2023-09-07T18:29:23.773198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q161
median65
Q369
95-th percentile88.8
Maximum88.8
Range92.8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.16730331
Coefficient of variation (CV)0.4374496235
Kurtosis1.985527799
Mean57.53188929
Median Absolute Deviation (MAD)4
Skewness-1.813571908
Sum10355970.2
Variance633.3931559
MonotonicityNot monotonic
2023-09-07T18:29:23.918722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 24294
 
13.5%
88.8 10590
 
5.9%
64 8546
 
4.7%
63 8544
 
4.7%
65 8130
 
4.5%
62 8125
 
4.5%
66 7936
 
4.4%
67 7263
 
4.0%
68 6829
 
3.8%
69 6142
 
3.4%
Other values (273) 83605
46.4%
ValueCountFrequency (%)
-4 24294
13.5%
37 1
 
< 0.1%
46 4
 
< 0.1%
46.5 1
 
< 0.1%
47 2
 
< 0.1%
ValueCountFrequency (%)
88.8 10590
5.9%
84 1
 
< 0.1%
82 1
 
< 0.1%
81 2
 
< 0.1%
80 8
 
< 0.1%

WEIGHT
Real number (ℝ)

Distinct324
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.5757761
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative24294
Negative (%)13.5%
Memory size1.4 MiB
2023-09-07T18:29:24.062756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1127
median157
Q3189
95-th percentile330
Maximum888
Range892
Interquartile range (IQR)62

Descriptive statistics

Standard deviation174.9233856
Coefficient of variation (CV)0.979547111
Kurtosis10.50900123
Mean178.5757761
Median Absolute Deviation (MAD)31
Skewness3.133826074
Sum32144354
Variance30598.19082
MonotonicityNot monotonic
2023-09-07T18:29:24.208276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 24294
 
13.5%
888 8877
 
4.9%
160 2562
 
1.4%
150 2546
 
1.4%
170 2232
 
1.2%
140 2188
 
1.2%
180 2157
 
1.2%
130 1981
 
1.1%
165 1980
 
1.1%
155 1895
 
1.1%
Other values (314) 129292
71.8%
ValueCountFrequency (%)
-4 24294
13.5%
54 1
 
< 0.1%
55 1
 
< 0.1%
57 1
 
< 0.1%
62 1
 
< 0.1%
ValueCountFrequency (%)
888 8877
4.9%
424 1
 
< 0.1%
420 1
 
< 0.1%
409 1
 
< 0.1%
405 1
 
< 0.1%

BPSYS
Real number (ℝ)

Distinct166
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.2176118
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative24294
Negative (%)13.5%
Memory size1.4 MiB
2023-09-07T18:29:24.352325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1115
median130
Q3146
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)31

Descriptive statistics

Standard deviation200.3044502
Coefficient of variation (CV)1.205073566
Kurtosis8.306834561
Mean166.2176118
Median Absolute Deviation (MAD)16
Skewness3.043904747
Sum29919835
Variance40121.87279
MonotonicityNot monotonic
2023-09-07T18:29:24.497854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 24294
 
13.5%
888 11667
 
6.5%
130 8656
 
4.8%
140 7362
 
4.1%
120 7110
 
3.9%
110 4799
 
2.7%
138 4430
 
2.5%
128 4404
 
2.4%
132 4201
 
2.3%
122 4034
 
2.2%
Other values (156) 99047
55.0%
ValueCountFrequency (%)
-4 24294
13.5%
60 1
 
< 0.1%
68 1
 
< 0.1%
70 7
 
< 0.1%
71 1
 
< 0.1%
ValueCountFrequency (%)
888 11667
6.5%
777 638
 
0.4%
232 1
 
< 0.1%
230 7
 
< 0.1%
229 2
 
< 0.1%

BPDIAS
Real number (ℝ)

Distinct113
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.3031044
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative24294
Negative (%)13.5%
Memory size1.4 MiB
2023-09-07T18:29:24.646911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q164
median73
Q382
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)18

Descriptive statistics

Standard deviation208.8031784
Coefficient of variation (CV)1.750190655
Kurtosis9.285734511
Mean119.3031044
Median Absolute Deviation (MAD)9
Skewness3.311237923
Sum21475036
Variance43598.76732
MonotonicityNot monotonic
2023-09-07T18:29:24.787423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 24294
 
13.5%
70 14439
 
8.0%
80 12922
 
7.2%
888 11679
 
6.5%
78 7153
 
4.0%
72 6563
 
3.6%
60 6352
 
3.5%
68 5522
 
3.1%
82 5341
 
3.0%
76 5193
 
2.9%
Other values (103) 80546
44.7%
ValueCountFrequency (%)
-4 24294
13.5%
30 7
 
< 0.1%
31 1
 
< 0.1%
32 7
 
< 0.1%
33 5
 
< 0.1%
ValueCountFrequency (%)
888 11679
6.5%
777 638
 
0.4%
140 4
 
< 0.1%
139 1
 
< 0.1%
138 4
 
< 0.1%

HRATE
Real number (ℝ)

Distinct120
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.7761716
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative24294
Negative (%)13.5%
Memory size1.4 MiB
2023-09-07T18:29:25.186857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q157
median66
Q376
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)19

Descriptive statistics

Standard deviation208.2788287
Coefficient of variation (CV)1.84683365
Kurtosis9.743469119
Mean112.7761716
Median Absolute Deviation (MAD)9
Skewness3.386551124
Sum20300162
Variance43380.0705
MonotonicityNot monotonic
2023-09-07T18:29:25.339898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 24294
 
13.5%
60 13021
 
7.2%
888 11937
 
6.6%
72 10830
 
6.0%
64 10705
 
5.9%
68 8833
 
4.9%
80 5984
 
3.3%
76 5745
 
3.2%
70 5165
 
2.9%
66 5121
 
2.8%
Other values (110) 78369
43.5%
ValueCountFrequency (%)
-4 24294
13.5%
33 11
 
< 0.1%
34 4
 
< 0.1%
35 11
 
< 0.1%
36 9
 
< 0.1%
ValueCountFrequency (%)
888 11937
6.6%
160 5
 
< 0.1%
159 1
 
< 0.1%
156 1
 
< 0.1%
154 1
 
< 0.1%

VISION
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1489244683
Minimum-4
Maximum9
Zeros109112
Zeros (%)60.6%
Negative23839
Negative (%)13.2%
Memory size1.4 MiB
2023-09-07T18:29:25.457421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.884784286
Coefficient of variation (CV)-12.65597458
Kurtosis7.63010798
Mean-0.1489244683
Median Absolute Deviation (MAD)0
Skewness0.6337314471
Sum-26807
Variance3.552411803
MonotonicityNot monotonic
2023-09-07T18:29:25.567936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 109112
60.6%
1 44366
24.6%
-4 23839
 
13.2%
9 2687
 
1.5%
ValueCountFrequency (%)
-4 23839
 
13.2%
0 109112
60.6%
1 44366
24.6%
9 2687
 
1.5%
ValueCountFrequency (%)
9 2687
 
1.5%
1 44366
24.6%
0 109112
60.6%
-4 23839
 
13.2%

VISCORR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2431112642
Minimum-4
Maximum9
Zeros32744
Zeros (%)18.2%
Negative23839
Negative (%)13.2%
Memory size1.4 MiB
2023-09-07T18:29:25.675448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median1
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.901980482
Coefficient of variation (CV)7.823497968
Kurtosis5.195280248
Mean0.2431112642
Median Absolute Deviation (MAD)0
Skewness-0.3645102716
Sum43761
Variance3.617529752
MonotonicityNot monotonic
2023-09-07T18:29:25.789971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 121459
67.5%
0 32744
 
18.2%
-4 23839
 
13.2%
9 1962
 
1.1%
ValueCountFrequency (%)
-4 23839
 
13.2%
0 32744
 
18.2%
1 121459
67.5%
9 1962
 
1.1%
ValueCountFrequency (%)
9 1962
 
1.1%
1 121459
67.5%
0 32744
 
18.2%
-4 23839
 
13.2%

VISWCORR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.583203707
Minimum-4
Maximum9
Zeros5944
Zeros (%)3.3%
Negative25801
Negative (%)14.3%
Memory size1.4 MiB
2023-09-07T18:29:25.896494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median1
Q31
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.558965876
Coefficient of variation (CV)2.247951961
Kurtosis-0.06730360496
Mean1.583203707
Median Absolute Deviation (MAD)0
Skewness0.574479883
Sum284983
Variance12.66623811
MonotonicityNot monotonic
2023-09-07T18:29:26.010009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 114175
63.4%
8 32744
 
18.2%
-4 25801
 
14.3%
0 5944
 
3.3%
9 1340
 
0.7%
ValueCountFrequency (%)
-4 25801
 
14.3%
0 5944
 
3.3%
1 114175
63.4%
8 32744
 
18.2%
9 1340
 
0.7%
ValueCountFrequency (%)
9 1340
 
0.7%
8 32744
 
18.2%
1 114175
63.4%
0 5944
 
3.3%
-4 25801
 
14.3%

HEARING
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2402724384
Minimum-4
Maximum9
Zeros38247
Zeros (%)21.2%
Negative23839
Negative (%)13.2%
Memory size1.4 MiB
2023-09-07T18:29:26.113129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median1
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.966127921
Coefficient of variation (CV)8.182910757
Kurtosis5.540264088
Mean0.2402724384
Median Absolute Deviation (MAD)0
Skewness-0.02136820434
Sum43250
Variance3.865659
MonotonicityNot monotonic
2023-09-07T18:29:26.225646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 115332
64.1%
0 38247
 
21.2%
-4 23839
 
13.2%
9 2586
 
1.4%
ValueCountFrequency (%)
-4 23839
 
13.2%
0 38247
 
21.2%
1 115332
64.1%
9 2586
 
1.4%
ValueCountFrequency (%)
9 2586
 
1.4%
1 115332
64.1%
0 38247
 
21.2%
-4 23839
 
13.2%

HEARAID
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2887880269
Minimum-4
Maximum9
Zeros128112
Zeros (%)71.2%
Negative23839
Negative (%)13.2%
Memory size1.4 MiB
2023-09-07T18:29:26.332473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.744285598
Coefficient of variation (CV)-6.040020483
Kurtosis8.313768958
Mean-0.2887880269
Median Absolute Deviation (MAD)0
Skewness0.3928608454
Sum-51983
Variance3.042532247
MonotonicityNot monotonic
2023-09-07T18:29:26.446543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 128112
71.2%
1 26138
 
14.5%
-4 23839
 
13.2%
9 1915
 
1.1%
ValueCountFrequency (%)
-4 23839
 
13.2%
0 128112
71.2%
1 26138
 
14.5%
9 1915
 
1.1%
ValueCountFrequency (%)
9 1915
 
1.1%
1 26138
 
14.5%
0 128112
71.2%
-4 23839
 
13.2%

HEARWAID
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.275977201
Minimum-4
Maximum9
Zeros3161
Zeros (%)1.8%
Negative25754
Negative (%)14.3%
Memory size1.4 MiB
2023-09-07T18:29:26.552056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.516616286
Coefficient of variation (CV)0.8560719871
Kurtosis-0.2263284571
Mean5.275977201
Median Absolute Deviation (MAD)0
Skewness-1.214825
Sum949697
Variance20.39982267
MonotonicityNot monotonic
2023-09-07T18:29:26.666571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 128112
71.2%
-4 25754
 
14.3%
1 22372
 
12.4%
0 3161
 
1.8%
9 605
 
0.3%
ValueCountFrequency (%)
-4 25754
 
14.3%
0 3161
 
1.8%
1 22372
 
12.4%
8 128112
71.2%
9 605
 
0.3%
ValueCountFrequency (%)
9 605
 
0.3%
8 128112
71.2%
1 22372
 
12.4%
0 3161
 
1.8%
-4 25754
 
14.3%

ABRUPT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.855258772
Minimum-4
Maximum2
Zeros94591
Zeros (%)52.5%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:26.772089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum2
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.016086305
Coefficient of variation (CV)-1.086687386
Kurtosis-1.929275435
Mean-1.855258772
Median Absolute Deviation (MAD)0
Skewness-0.1033478264
Sum-333954
Variance4.06460399
MonotonicityNot monotonic
2023-09-07T18:29:26.879606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 94591
52.5%
-4 84130
46.7%
2 1283
 
0.7%
ValueCountFrequency (%)
-4 84130
46.7%
0 94591
52.5%
2 1283
 
0.7%
ValueCountFrequency (%)
2 1283
 
0.7%
0 94591
52.5%
-4 84130
46.7%

STEPWISE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8630086
Minimum-4
Maximum1
Zeros94703
Zeros (%)52.6%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:26.986147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.003442714
Coefficient of variation (CV)-1.075380282
Kurtosis-1.974457259
Mean-1.8630086
Median Absolute Deviation (MAD)0
Skewness-0.1251765728
Sum-335349
Variance4.01378271
MonotonicityNot monotonic
2023-09-07T18:29:27.097662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 94703
52.6%
-4 84130
46.7%
1 1171
 
0.7%
ValueCountFrequency (%)
-4 84130
46.7%
0 94703
52.6%
1 1171
 
0.7%
ValueCountFrequency (%)
1 1171
 
0.7%
0 94703
52.6%
-4 84130
46.7%

SOMATIC
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.85478656
Minimum-4
Maximum1
Zeros93223
Zeros (%)51.8%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:27.203186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.013100301
Coefficient of variation (CV)-1.085354156
Kurtosis-1.96455419
Mean-1.85478656
Median Absolute Deviation (MAD)0
Skewness-0.1185019733
Sum-333869
Variance4.052572823
MonotonicityNot monotonic
2023-09-07T18:29:27.318728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 93223
51.8%
-4 84130
46.7%
1 2651
 
1.5%
ValueCountFrequency (%)
-4 84130
46.7%
0 93223
51.8%
1 2651
 
1.5%
ValueCountFrequency (%)
1 2651
 
1.5%
0 93223
51.8%
-4 84130
46.7%

EMOT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.861614186
Minimum-4
Maximum1
Zeros94452
Zeros (%)52.5%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:27.428323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.005086238
Coefficient of variation (CV)-1.077068628
Kurtosis-1.972716439
Mean-1.861614186
Median Absolute Deviation (MAD)0
Skewness-0.1240144172
Sum-335098
Variance4.020370824
MonotonicityNot monotonic
2023-09-07T18:29:27.539850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 94452
52.5%
-4 84130
46.7%
1 1422
 
0.8%
ValueCountFrequency (%)
-4 84130
46.7%
0 94452
52.5%
1 1422
 
0.8%
ValueCountFrequency (%)
1 1422
 
0.8%
0 94452
52.5%
-4 84130
46.7%

HXHYPER
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.567309615
Minimum-4
Maximum1
Zeros41476
Zeros (%)23.0%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:27.654365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.307342754
Coefficient of variation (CV)-1.472167804
Kurtosis-1.910235024
Mean-1.567309615
Median Absolute Deviation (MAD)1
Skewness-0.05925363914
Sum-282122
Variance5.323830584
MonotonicityNot monotonic
2023-09-07T18:29:27.767880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 84130
46.7%
1 54398
30.2%
0 41476
23.0%
ValueCountFrequency (%)
-4 84130
46.7%
0 41476
23.0%
1 54398
30.2%
ValueCountFrequency (%)
1 54398
30.2%
0 41476
23.0%
-4 84130
46.7%

HXSTROKE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.806826515
Minimum-4
Maximum2
Zeros90232
Zeros (%)50.1%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:27.874397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum2
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.082986578
Coefficient of variation (CV)-1.1528426
Kurtosis-1.792142513
Mean-1.806826515
Median Absolute Deviation (MAD)0
Skewness-0.02704741347
Sum-325236
Variance4.338833084
MonotonicityNot monotonic
2023-09-07T18:29:27.980914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 90232
50.1%
-4 84130
46.7%
2 5642
 
3.1%
ValueCountFrequency (%)
-4 84130
46.7%
0 90232
50.1%
2 5642
 
3.1%
ValueCountFrequency (%)
2 5642
 
3.1%
0 90232
50.1%
-4 84130
46.7%

FOCLSYM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.815492989
Minimum-4
Maximum2
Zeros91012
Zeros (%)50.6%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:28.087453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum2
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.071257378
Coefficient of variation (CV)-1.140878753
Kurtosis-1.812244279
Mean-1.815492989
Median Absolute Deviation (MAD)0
Skewness-0.03898367749
Sum-326796
Variance4.290107127
MonotonicityNot monotonic
2023-09-07T18:29:28.208972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 91012
50.6%
-4 84130
46.7%
2 4862
 
2.7%
ValueCountFrequency (%)
-4 84130
46.7%
0 91012
50.6%
2 4862
 
2.7%
ValueCountFrequency (%)
2 4862
 
2.7%
0 91012
50.6%
-4 84130
46.7%

FOCLSIGN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.796782294
Minimum-4
Maximum2
Zeros89328
Zeros (%)49.6%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:28.316496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum2
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.096453501
Coefficient of variation (CV)-1.166782146
Kurtosis-1.770918215
Mean-1.796782294
Median Absolute Deviation (MAD)2
Skewness-0.01404844066
Sum-323428
Variance4.395117283
MonotonicityNot monotonic
2023-09-07T18:29:28.428011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 89328
49.6%
-4 84130
46.7%
2 6546
 
3.6%
ValueCountFrequency (%)
-4 84130
46.7%
0 89328
49.6%
2 6546
 
3.6%
ValueCountFrequency (%)
2 6546
 
3.6%
0 89328
49.6%
-4 84130
46.7%

HACHIN
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.33446479
Minimum-4
Maximum12
Zeros36762
Zeros (%)20.4%
Negative84130
Negative (%)46.7%
Memory size1.4 MiB
2023-09-07T18:29:28.545063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile3
Maximum12
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.695064169
Coefficient of variation (CV)-2.019584323
Kurtosis-0.3359580729
Mean-1.33446479
Median Absolute Deviation (MAD)3
Skewness0.477536963
Sum-240209
Variance7.263370873
MonotonicityNot monotonic
2023-09-07T18:29:28.678581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-4 84130
46.7%
1 45469
25.3%
0 36762
20.4%
3 4759
 
2.6%
2 3704
 
2.1%
5 1766
 
1.0%
4 1475
 
0.8%
7 770
 
0.4%
6 514
 
0.3%
8 238
 
0.1%
Other values (4) 417
 
0.2%
ValueCountFrequency (%)
-4 84130
46.7%
0 36762
20.4%
1 45469
25.3%
2 3704
 
2.1%
3 4759
 
2.6%
ValueCountFrequency (%)
12 19
 
< 0.1%
11 26
 
< 0.1%
10 187
0.1%
9 185
0.1%
8 238
0.1%

CVDCOG
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.147302282
Minimum-4
Maximum8
Zeros41084
Zeros (%)22.8%
Negative107340
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:28.791099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.238301147
Coefficient of variation (CV)-3.694145138
Kurtosis0.418703917
Mean-1.147302282
Median Absolute Deviation (MAD)0
Skewness1.351776763
Sum-206519
Variance17.96319661
MonotonicityNot monotonic
2023-09-07T18:29:28.903615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107340
59.6%
0 41084
 
22.8%
8 27323
 
15.2%
1 4257
 
2.4%
ValueCountFrequency (%)
-4 107340
59.6%
0 41084
 
22.8%
1 4257
 
2.4%
8 27323
 
15.2%
ValueCountFrequency (%)
8 27323
 
15.2%
1 4257
 
2.4%
0 41084
 
22.8%
-4 107340
59.6%

STROKCOG
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.264360792
Minimum-4
Maximum8
Zeros14416
Zeros (%)8.0%
Negative105919
Negative (%)58.8%
Memory size1.4 MiB
2023-09-07T18:29:29.011132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.500524904
Coefficient of variation (CV)20.80688616
Kurtosis-1.509645526
Mean0.264360792
Median Absolute Deviation (MAD)0
Skewness0.6344115806
Sum47586
Variance30.25577422
MonotonicityNot monotonic
2023-09-07T18:29:29.131161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 105919
58.8%
8 58799
32.7%
0 14416
 
8.0%
1 870
 
0.5%
ValueCountFrequency (%)
-4 105919
58.8%
0 14416
 
8.0%
1 870
 
0.5%
8 58799
32.7%
ValueCountFrequency (%)
8 58799
32.7%
1 870
 
0.5%
0 14416
 
8.0%
-4 105919
58.8%

CVDIMAG
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5681262639
Minimum-4
Maximum8
Zeros29489
Zeros (%)16.4%
Negative107340
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:29.251194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.863540437
Coefficient of variation (CV)-8.560668194
Kurtosis-0.6814849005
Mean-0.5681262639
Median Absolute Deviation (MAD)0
Skewness1.023264183
Sum-102265
Variance23.65402559
MonotonicityNot monotonic
2023-09-07T18:29:29.367715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107340
59.6%
8 40560
 
22.5%
0 29489
 
16.4%
1 2615
 
1.5%
ValueCountFrequency (%)
-4 107340
59.6%
0 29489
 
16.4%
1 2615
 
1.5%
8 40560
 
22.5%
ValueCountFrequency (%)
8 40560
 
22.5%
1 2615
 
1.5%
0 29489
 
16.4%
-4 107340
59.6%

CVDIMAG1
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.730444879
Minimum-4
Maximum8
Zeros1881
Zeros (%)1.0%
Negative107363
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:29.476230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.823324834
Coefficient of variation (CV)7.972298803
Kurtosis-1.79553306
Mean0.730444879
Median Absolute Deviation (MAD)0
Skewness0.4370708208
Sum131483
Variance33.91111213
MonotonicityNot monotonic
2023-09-07T18:29:29.586748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107363
59.6%
8 70025
38.9%
0 1881
 
1.0%
1 735
 
0.4%
ValueCountFrequency (%)
-4 107363
59.6%
0 1881
 
1.0%
1 735
 
0.4%
8 70025
38.9%
ValueCountFrequency (%)
8 70025
38.9%
1 735
 
0.4%
0 1881
 
1.0%
-4 107363
59.6%

CVDIMAG2
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7303726584
Minimum-4
Maximum8
Zeros1894
Zeros (%)1.1%
Negative107363
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:29.695272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.823327692
Coefficient of variation (CV)7.973091031
Kurtosis-1.795513723
Mean0.7303726584
Median Absolute Deviation (MAD)0
Skewness0.437107234
Sum131470
Variance33.91114541
MonotonicityNot monotonic
2023-09-07T18:29:29.805788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107363
59.6%
8 70025
38.9%
0 1894
 
1.1%
1 722
 
0.4%
ValueCountFrequency (%)
-4 107363
59.6%
0 1894
 
1.1%
1 722
 
0.4%
8 70025
38.9%
ValueCountFrequency (%)
8 70025
38.9%
1 722
 
0.4%
0 1894
 
1.1%
-4 107363
59.6%

CVDIMAG3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7333837026
Minimum-4
Maximum8
Zeros1352
Zeros (%)0.8%
Negative107363
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:29.920313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.823207794
Coefficient of variation (CV)7.940192526
Kurtosis-1.796317803
Mean0.7333837026
Median Absolute Deviation (MAD)0
Skewness0.4355892273
Sum132012
Variance33.90974901
MonotonicityNot monotonic
2023-09-07T18:29:30.040742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107363
59.6%
8 70025
38.9%
0 1352
 
0.8%
1 1264
 
0.7%
ValueCountFrequency (%)
-4 107363
59.6%
0 1352
 
0.8%
1 1264
 
0.7%
8 70025
38.9%
ValueCountFrequency (%)
8 70025
38.9%
1 1264
 
0.7%
0 1352
 
0.8%
-4 107363
59.6%

CVDIMAG4
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7294004578
Minimum-4
Maximum8
Zeros2069
Zeros (%)1.1%
Negative107363
Negative (%)59.6%
Memory size1.4 MiB
2023-09-07T18:29:30.147266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.823366071
Coefficient of variation (CV)7.983770793
Kurtosis-1.795253178
Mean0.7294004578
Median Absolute Deviation (MAD)0
Skewness0.4375974272
Sum131295
Variance33.9115924
MonotonicityNot monotonic
2023-09-07T18:29:30.266289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 107363
59.6%
8 70025
38.9%
0 2069
 
1.1%
1 547
 
0.3%
ValueCountFrequency (%)
-4 107363
59.6%
0 2069
 
1.1%
1 547
 
0.3%
8 70025
38.9%
ValueCountFrequency (%)
8 70025
38.9%
1 547
 
0.3%
0 2069
 
1.1%
-4 107363
59.6%

PDNORMAL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.597036733
Minimum-4
Maximum8
Zeros46144
Zeros (%)25.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:30.379804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.308681766
Coefficient of variation (CV)-1.445603422
Kurtosis-1.545637057
Mean-1.597036733
Median Absolute Deviation (MAD)1
Skewness0.04051352813
Sum-287473
Variance5.330011496
MonotonicityNot monotonic
2023-09-07T18:29:30.498324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 84611
47.0%
1 49003
27.2%
0 46144
25.6%
8 246
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 46144
25.6%
1 49003
27.2%
8 246
 
0.1%
ValueCountFrequency (%)
8 246
 
0.1%
1 49003
27.2%
0 46144
25.6%
-4 84611
47.0%

SPEECH
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.774121686
Minimum-4
Maximum8
Zeros83939
Zeros (%)46.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:30.610374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.160366497
Coefficient of variation (CV)-1.217710439
Kurtosis-1.01460478
Mean-1.774121686
Median Absolute Deviation (MAD)1
Skewness0.1703110111
Sum-319349
Variance4.6671834
MonotonicityNot monotonic
2023-09-07T18:29:30.726780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 83939
46.6%
1 7651
 
4.3%
2 2126
 
1.2%
3 820
 
0.5%
4 531
 
0.3%
8 326
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 83939
46.6%
1 7651
 
4.3%
2 2126
 
1.2%
3 820
 
0.5%
ValueCountFrequency (%)
8 326
 
0.2%
4 531
 
0.3%
3 820
 
0.5%
2 2126
 
1.2%
1 7651
4.3%

FACEXP
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.770655097
Minimum-4
Maximum8
Zeros82433
Zeros (%)45.8%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:30.831612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.147309844
Coefficient of variation (CV)-1.212720562
Kurtosis-1.534990544
Mean-1.770655097
Median Absolute Deviation (MAD)1
Skewness0.06389955251
Sum-318725
Variance4.610939564
MonotonicityNot monotonic
2023-09-07T18:29:30.956685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 82433
45.8%
1 8464
 
4.7%
2 2941
 
1.6%
3 1123
 
0.6%
4 363
 
0.2%
8 69
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 82433
45.8%
1 8464
 
4.7%
2 2941
 
1.6%
3 1123
 
0.6%
ValueCountFrequency (%)
8 69
 
< 0.1%
4 363
 
0.2%
3 1123
 
0.6%
2 2941
 
1.6%
1 8464
4.7%

TRESTFAC
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.859142019
Minimum-4
Maximum8
Zeros92830
Zeros (%)51.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:31.070791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.02745217
Coefficient of variation (CV)-1.090531089
Kurtosis-1.811216182
Mean-1.859142019
Median Absolute Deviation (MAD)0
Skewness-0.06638807288
Sum-334653
Variance4.110562301
MonotonicityNot monotonic
2023-09-07T18:29:31.182307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 92830
51.6%
-4 84611
47.0%
1 1748
 
1.0%
2 618
 
0.3%
3 141
 
0.1%
8 40
 
< 0.1%
4 16
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 92830
51.6%
1 1748
 
1.0%
2 618
 
0.3%
3 141
 
0.1%
ValueCountFrequency (%)
8 40
 
< 0.1%
4 16
 
< 0.1%
3 141
 
0.1%
2 618
 
0.3%
1 1748
1.0%

TRESTRHD
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.847492278
Minimum-4
Maximum8
Zeros91587
Zeros (%)50.9%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:31.287822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.044921641
Coefficient of variation (CV)-1.10686343
Kurtosis-1.721366181
Mean-1.847492278
Median Absolute Deviation (MAD)0
Skewness-0.03705024838
Sum-332556
Variance4.181704516
MonotonicityNot monotonic
2023-09-07T18:29:31.400965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 91587
50.9%
-4 84611
47.0%
1 2427
 
1.3%
2 1006
 
0.6%
3 287
 
0.2%
8 61
 
< 0.1%
4 25
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 91587
50.9%
1 2427
 
1.3%
2 1006
 
0.6%
3 287
 
0.2%
ValueCountFrequency (%)
8 61
 
< 0.1%
4 25
 
< 0.1%
3 287
 
0.2%
2 1006
0.6%
1 2427
1.3%

TRESTLHD
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.850203329
Minimum-4
Maximum8
Zeros91752
Zeros (%)51.0%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:31.513481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.040781969
Coefficient of variation (CV)-1.10300416
Kurtosis-1.729996881
Mean-1.850203329
Median Absolute Deviation (MAD)0
Skewness-0.04276436111
Sum-333044
Variance4.164791045
MonotonicityNot monotonic
2023-09-07T18:29:31.641035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 91752
51.0%
-4 84611
47.0%
1 2499
 
1.4%
2 868
 
0.5%
3 183
 
0.1%
8 63
 
< 0.1%
4 28
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 91752
51.0%
1 2499
 
1.4%
2 868
 
0.5%
3 183
 
0.1%
ValueCountFrequency (%)
8 63
 
< 0.1%
4 28
 
< 0.1%
3 183
 
0.1%
2 868
 
0.5%
1 2499
1.4%

TRESTRFT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.871402858
Minimum-4
Maximum8
Zeros94576
Zeros (%)52.5%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:31.752103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.013213399
Coefficient of variation (CV)-1.075777666
Kurtosis-1.75815931
Mean-1.871402858
Median Absolute Deviation (MAD)0
Skewness-0.06807185786
Sum-336860
Variance4.05302819
MonotonicityNot monotonic
2023-09-07T18:29:31.864304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 94576
52.5%
-4 84611
47.0%
1 513
 
0.3%
2 200
 
0.1%
8 71
 
< 0.1%
3 29
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 94576
52.5%
1 513
 
0.3%
2 200
 
0.1%
3 29
 
< 0.1%
ValueCountFrequency (%)
8 71
 
< 0.1%
4 4
 
< 0.1%
3 29
 
< 0.1%
2 200
 
0.1%
1 513
0.3%

TRESTLFT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.871469523
Minimum-4
Maximum8
Zeros94597
Zeros (%)52.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:31.971822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.013435645
Coefficient of variation (CV)-1.0758581
Kurtosis-1.746280056
Mean-1.871469523
Median Absolute Deviation (MAD)0
Skewness-0.06581930565
Sum-336872
Variance4.053923095
MonotonicityNot monotonic
2023-09-07T18:29:32.083340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 94597
52.6%
-4 84611
47.0%
1 520
 
0.3%
2 158
 
0.1%
8 75
 
< 0.1%
3 36
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 94597
52.6%
1 520
 
0.3%
2 158
 
0.1%
3 36
 
< 0.1%
ValueCountFrequency (%)
8 75
 
< 0.1%
4 7
 
< 0.1%
3 36
 
< 0.1%
2 158
 
0.1%
1 520
0.3%

TRACTRHD
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.762749717
Minimum-4
Maximum8
Zeros79876
Zeros (%)44.4%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:32.190880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.159315737
Coefficient of variation (CV)-1.224970123
Kurtosis-1.265365966
Mean-1.762749717
Median Absolute Deviation (MAD)1
Skewness0.1060640014
Sum-317302
Variance4.662644453
MonotonicityNot monotonic
2023-09-07T18:29:32.301401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 79876
44.4%
1 12270
 
6.8%
2 2184
 
1.2%
3 760
 
0.4%
8 253
 
0.1%
4 50
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 79876
44.4%
1 12270
 
6.8%
2 2184
 
1.2%
3 760
 
0.4%
ValueCountFrequency (%)
8 253
 
0.1%
4 50
 
< 0.1%
3 760
 
0.4%
2 2184
 
1.2%
1 12270
6.8%

TRACTLHD
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.756572076
Minimum-4
Maximum8
Zeros79002
Zeros (%)43.9%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:32.410918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.166635118
Coefficient of variation (CV)-1.233445042
Kurtosis-1.259977915
Mean-1.756572076
Median Absolute Deviation (MAD)1
Skewness0.1099581491
Sum-316190
Variance4.694307735
MonotonicityNot monotonic
2023-09-07T18:29:32.534469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 79002
43.9%
1 12923
 
7.2%
2 2410
 
1.3%
3 757
 
0.4%
8 259
 
0.1%
4 42
 
< 0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 79002
43.9%
1 12923
 
7.2%
2 2410
 
1.3%
3 757
 
0.4%
ValueCountFrequency (%)
8 259
 
0.1%
4 42
 
< 0.1%
3 757
 
0.4%
2 2410
 
1.3%
1 12923
7.2%

RIGDNECK
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.800643319
Minimum-4
Maximum8
Zeros87239
Zeros (%)48.5%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:32.639987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.124865408
Coefficient of variation (CV)-1.18005903
Kurtosis-1.066514091
Mean-1.800643319
Median Absolute Deviation (MAD)1
Skewness0.1384390431
Sum-324123
Variance4.515053002
MonotonicityNot monotonic
2023-09-07T18:29:33.006533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 87239
48.5%
-4 84611
47.0%
1 5005
 
2.8%
2 2034
 
1.1%
3 428
 
0.2%
4 383
 
0.2%
8 304
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 87239
48.5%
1 5005
 
2.8%
2 2034
 
1.1%
3 428
 
0.2%
ValueCountFrequency (%)
8 304
 
0.2%
4 383
 
0.2%
3 428
 
0.2%
2 2034
1.1%
1 5005
2.8%

RIGDUPRT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.762760828
Minimum-4
Maximum8
Zeros80907
Zeros (%)44.9%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:33.111049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.162707802
Coefficient of variation (CV)-1.226886693
Kurtosis-1.240066258
Mean-1.762760828
Median Absolute Deviation (MAD)1
Skewness0.1186323873
Sum-317304
Variance4.677305036
MonotonicityNot monotonic
2023-09-07T18:29:33.222573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 80907
44.9%
1 10352
 
5.8%
2 3152
 
1.8%
3 428
 
0.2%
4 308
 
0.2%
8 246
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 80907
44.9%
1 10352
 
5.8%
2 3152
 
1.8%
3 428
 
0.2%
ValueCountFrequency (%)
8 246
 
0.1%
4 308
 
0.2%
3 428
 
0.2%
2 3152
 
1.8%
1 10352
5.8%

RIGDUPLF
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.766527411
Minimum-4
Maximum8
Zeros81532
Zeros (%)45.3%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:33.328087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.158868143
Coefficient of variation (CV)-1.222097167
Kurtosis-1.227005498
Mean-1.766527411
Median Absolute Deviation (MAD)1
Skewness0.1198795351
Sum-317982
Variance4.66071166
MonotonicityNot monotonic
2023-09-07T18:29:33.449120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 81532
45.3%
1 9817
 
5.5%
2 3033
 
1.7%
3 469
 
0.3%
4 291
 
0.2%
8 251
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 81532
45.3%
1 9817
 
5.5%
2 3033
 
1.7%
3 469
 
0.3%
ValueCountFrequency (%)
8 251
 
0.1%
4 291
 
0.2%
3 469
 
0.3%
2 3033
 
1.7%
1 9817
5.5%

RIGDLORT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.805598764
Minimum-4
Maximum8
Zeros87483
Zeros (%)48.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:33.556634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.116749179
Coefficient of variation (CV)-1.172325336
Kurtosis-1.084563873
Mean-1.805598764
Median Absolute Deviation (MAD)1
Skewness0.1268814742
Sum-325015
Variance4.480627087
MonotonicityNot monotonic
2023-09-07T18:29:33.671151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 87483
48.6%
-4 84611
47.0%
1 5097
 
2.8%
2 1896
 
1.1%
3 356
 
0.2%
8 307
 
0.2%
4 254
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 87483
48.6%
1 5097
 
2.8%
2 1896
 
1.1%
3 356
 
0.2%
ValueCountFrequency (%)
8 307
 
0.2%
4 254
 
0.1%
3 356
 
0.2%
2 1896
 
1.1%
1 5097
2.8%

RIGDLOLF
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.804265461
Minimum-4
Maximum8
Zeros87440
Zeros (%)48.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:33.776668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.119700196
Coefficient of variation (CV)-1.174827231
Kurtosis-1.047913773
Mean-1.804265461
Median Absolute Deviation (MAD)1
Skewness0.1357477934
Sum-324775
Variance4.49312892
MonotonicityNot monotonic
2023-09-07T18:29:33.887187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 87440
48.6%
-4 84611
47.0%
1 5062
 
2.8%
2 1941
 
1.1%
3 371
 
0.2%
8 324
 
0.2%
4 255
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 87440
48.6%
1 5062
 
2.8%
2 1941
 
1.1%
3 371
 
0.2%
ValueCountFrequency (%)
8 324
 
0.2%
4 255
 
0.1%
3 371
 
0.2%
2 1941
 
1.1%
1 5062
2.8%

TAPSRT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.696112309
Minimum-4
Maximum8
Zeros77129
Zeros (%)42.8%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:33.994702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.315913486
Coefficient of variation (CV)-1.365424609
Kurtosis0.515142609
Mean-1.696112309
Median Absolute Deviation (MAD)1
Skewness0.5457867866
Sum-305307
Variance5.363455272
MonotonicityNot monotonic
2023-09-07T18:29:34.111219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 77129
42.8%
1 13498
 
7.5%
2 2579
 
1.4%
8 1528
 
0.8%
3 379
 
0.2%
4 280
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 77129
42.8%
1 13498
 
7.5%
2 2579
 
1.4%
3 379
 
0.2%
ValueCountFrequency (%)
8 1528
 
0.8%
4 280
 
0.2%
3 379
 
0.2%
2 2579
 
1.4%
1 13498
7.5%

TAPSLF
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.685312549
Minimum-4
Maximum8
Zeros75957
Zeros (%)42.2%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:34.218372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.32879709
Coefficient of variation (CV)-1.381819112
Kurtosis0.4773783136
Mean-1.685312549
Median Absolute Deviation (MAD)1
Skewness0.5454323833
Sum-303363
Variance5.423295886
MonotonicityNot monotonic
2023-09-07T18:29:34.332397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 75957
42.2%
1 14085
 
7.8%
2 3035
 
1.7%
8 1539
 
0.9%
3 494
 
0.3%
4 283
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 75957
42.2%
1 14085
 
7.8%
2 3035
 
1.7%
3 494
 
0.3%
ValueCountFrequency (%)
8 1539
 
0.9%
4 283
 
0.2%
3 494
 
0.3%
2 3035
 
1.7%
1 14085
7.8%

HANDMOVR
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.70918424
Minimum-4
Maximum8
Zeros79080
Zeros (%)43.9%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:34.438916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.303956081
Coefficient of variation (CV)-1.347985797
Kurtosis0.624670979
Mean-1.70918424
Median Absolute Deviation (MAD)1
Skewness0.5622678347
Sum-307660
Variance5.308213622
MonotonicityNot monotonic
2023-09-07T18:29:34.552438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 79080
43.9%
1 12044
 
6.7%
2 2135
 
1.2%
8 1565
 
0.9%
3 326
 
0.2%
4 243
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 79080
43.9%
1 12044
 
6.7%
2 2135
 
1.2%
3 326
 
0.2%
ValueCountFrequency (%)
8 1565
 
0.9%
4 243
 
0.1%
3 326
 
0.2%
2 2135
 
1.2%
1 12044
6.7%

HANDMOVL
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.703267705
Minimum-4
Maximum8
Zeros78275
Zeros (%)43.5%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:34.661952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.308741416
Coefficient of variation (CV)-1.355477715
Kurtosis0.5544368075
Mean-1.703267705
Median Absolute Deviation (MAD)1
Skewness0.5507678739
Sum-306595
Variance5.330286928
MonotonicityNot monotonic
2023-09-07T18:29:34.776470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 78275
43.5%
1 12462
 
6.9%
2 2483
 
1.4%
8 1532
 
0.9%
3 399
 
0.2%
4 242
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 78275
43.5%
1 12462
 
6.9%
2 2483
 
1.4%
3 399
 
0.2%
ValueCountFrequency (%)
8 1532
 
0.9%
4 242
 
0.1%
3 399
 
0.2%
2 2483
 
1.4%
1 12462
6.9%

HANDALTR
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.702439946
Minimum-4
Maximum8
Zeros79566
Zeros (%)44.2%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:34.884985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.324585838
Coefficient of variation (CV)-1.365443664
Kurtosis0.8226409722
Mean-1.702439946
Median Absolute Deviation (MAD)1
Skewness0.6181564473
Sum-306446
Variance5.403699318
MonotonicityNot monotonic
2023-09-07T18:29:34.999504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 79566
44.2%
1 11178
 
6.2%
2 2201
 
1.2%
8 1754
 
1.0%
3 390
 
0.2%
4 304
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 79566
44.2%
1 11178
 
6.2%
2 2201
 
1.2%
3 390
 
0.2%
ValueCountFrequency (%)
8 1754
 
1.0%
4 304
 
0.2%
3 390
 
0.2%
2 2201
 
1.2%
1 11178
6.2%

HANDALTL
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.689829115
Minimum-4
Maximum8
Zeros78112
Zeros (%)43.4%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:35.105020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.339264037
Coefficient of variation (CV)-1.38431988
Kurtosis0.7661974333
Mean-1.689829115
Median Absolute Deviation (MAD)1
Skewness0.6151714208
Sum-304176
Variance5.472156237
MonotonicityNot monotonic
2023-09-07T18:29:35.222541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 78112
43.4%
1 12009
 
6.7%
2 2698
 
1.5%
8 1764
 
1.0%
3 489
 
0.3%
4 321
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 78112
43.4%
1 12009
 
6.7%
2 2698
 
1.5%
3 489
 
0.3%
ValueCountFrequency (%)
8 1764
 
1.0%
4 321
 
0.2%
3 489
 
0.3%
2 2698
 
1.5%
1 12009
6.7%

LEGRT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.708050932
Minimum-4
Maximum8
Zeros80400
Zeros (%)44.7%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:35.330062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.319783693
Coefficient of variation (CV)-1.358146674
Kurtosis0.8818193872
Mean-1.708050932
Median Absolute Deviation (MAD)1
Skewness0.6275209455
Sum-307456
Variance5.38139638
MonotonicityNot monotonic
2023-09-07T18:29:35.446071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 80400
44.7%
1 10566
 
5.9%
2 2033
 
1.1%
8 1779
 
1.0%
3 336
 
0.2%
4 279
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 80400
44.7%
1 10566
 
5.9%
2 2033
 
1.1%
3 336
 
0.2%
ValueCountFrequency (%)
8 1779
 
1.0%
4 279
 
0.2%
3 336
 
0.2%
2 2033
 
1.1%
1 10566
5.9%

LEGLF
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.69960112
Minimum-4
Maximum8
Zeros79479
Zeros (%)44.2%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:35.552579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.330728587
Coefficient of variation (CV)-1.37133858
Kurtosis0.8667499333
Mean-1.69960112
Median Absolute Deviation (MAD)1
Skewness0.6308327852
Sum-305935
Variance5.432295747
MonotonicityNot monotonic
2023-09-07T18:29:35.667096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 79479
44.2%
1 11093
 
6.2%
2 2354
 
1.3%
8 1808
 
1.0%
3 392
 
0.2%
4 267
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 79479
44.2%
1 11093
 
6.2%
2 2354
 
1.3%
3 392
 
0.2%
ValueCountFrequency (%)
8 1808
 
1.0%
4 267
 
0.1%
3 392
 
0.2%
2 2354
 
1.3%
1 11093
6.2%

ARISING
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.667246283
Minimum-4
Maximum8
Zeros77287
Zeros (%)42.9%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:35.774611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile2
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.343510632
Coefficient of variation (CV)-1.405617547
Kurtosis-0.05666098881
Mean-1.667246283
Median Absolute Deviation (MAD)2
Skewness0.4714028602
Sum-300111
Variance5.492042081
MonotonicityNot monotonic
2023-09-07T18:29:35.888133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 77287
42.9%
1 8632
 
4.8%
2 5678
 
3.2%
4 1717
 
1.0%
8 1048
 
0.6%
3 1031
 
0.6%
ValueCountFrequency (%)
-4 84611
47.0%
0 77287
42.9%
1 8632
 
4.8%
2 5678
 
3.2%
3 1031
 
0.6%
ValueCountFrequency (%)
8 1048
 
0.6%
4 1717
 
1.0%
3 1031
 
0.6%
2 5678
3.2%
1 8632
4.8%

POSTURE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.689512455
Minimum-4
Maximum8
Zeros73823
Zeros (%)41.0%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:35.995583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.285833773
Coefficient of variation (CV)-1.352954674
Kurtosis-0.3203370319
Mean-1.689512455
Median Absolute Deviation (MAD)2
Skewness0.3565321699
Sum-304119
Variance5.225036036
MonotonicityNot monotonic
2023-09-07T18:29:36.108097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 73823
41.0%
1 15385
 
8.5%
2 4367
 
2.4%
8 904
 
0.5%
3 682
 
0.4%
4 232
 
0.1%
ValueCountFrequency (%)
-4 84611
47.0%
0 73823
41.0%
1 15385
 
8.5%
2 4367
 
2.4%
3 682
 
0.4%
ValueCountFrequency (%)
8 904
 
0.5%
4 232
 
0.1%
3 682
 
0.4%
2 4367
 
2.4%
1 15385
8.5%

GAIT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.674418346
Minimum-4
Maximum8
Zeros74369
Zeros (%)41.3%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:36.214617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.322523507
Coefficient of variation (CV)-1.387062864
Kurtosis-0.05318915467
Mean-1.674418346
Median Absolute Deviation (MAD)2
Skewness0.4402883787
Sum-301402
Variance5.39411544
MonotonicityNot monotonic
2023-09-07T18:29:36.326141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 74369
41.3%
1 14319
 
8.0%
2 3357
 
1.9%
3 1827
 
1.0%
8 1111
 
0.6%
4 410
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 74369
41.3%
1 14319
 
8.0%
2 3357
 
1.9%
3 1827
 
1.0%
ValueCountFrequency (%)
8 1111
 
0.6%
4 410
 
0.2%
3 1827
 
1.0%
2 3357
 
1.9%
1 14319
8.0%

POSSTAB
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.630574876
Minimum-4
Maximum8
Zeros76096
Zeros (%)42.3%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:36.433099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.450625715
Coefficient of variation (CV)-1.502921302
Kurtosis1.132478166
Mean-1.630574876
Median Absolute Deviation (MAD)2
Skewness0.7669486551
Sum-293510
Variance6.005566397
MonotonicityNot monotonic
2023-09-07T18:29:36.546494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 76096
42.3%
1 10766
 
6.0%
2 4492
 
2.5%
8 2464
 
1.4%
3 828
 
0.5%
4 747
 
0.4%
ValueCountFrequency (%)
-4 84611
47.0%
0 76096
42.3%
1 10766
 
6.0%
2 4492
 
2.5%
3 828
 
0.5%
ValueCountFrequency (%)
8 2464
 
1.4%
4 747
 
0.4%
3 828
 
0.5%
2 4492
2.5%
1 10766
6.0%

BRADYKIN
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.713256372
Minimum-4
Maximum8
Zeros76623
Zeros (%)42.6%
Negative84611
Negative (%)47.0%
Memory size1.4 MiB
2023-09-07T18:29:36.651014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.239803659
Coefficient of variation (CV)-1.307337124
Kurtosis-0.8754956931
Mean-1.713256372
Median Absolute Deviation (MAD)2
Skewness0.2354015113
Sum-308393
Variance5.01672043
MonotonicityNot monotonic
2023-09-07T18:29:36.764530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 84611
47.0%
0 76623
42.6%
1 12701
 
7.1%
2 3701
 
2.1%
3 1300
 
0.7%
4 624
 
0.3%
8 444
 
0.2%
ValueCountFrequency (%)
-4 84611
47.0%
0 76623
42.6%
1 12701
 
7.1%
2 3701
 
2.1%
3 1300
 
0.7%
ValueCountFrequency (%)
8 444
 
0.2%
4 624
 
0.3%
3 1300
 
0.7%
2 3701
 
2.1%
1 12701
7.1%

MEMORY
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5893091265
Minimum0
Maximum3
Zeros86733
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:36.869046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8038944366
Coefficient of variation (CV)1.364130302
Kurtosis1.868672414
Mean0.5893091265
Median Absolute Deviation (MAD)0.5
Skewness1.594043449
Sum106078
Variance0.6462462652
MonotonicityNot monotonic
2023-09-07T18:29:36.979573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 86733
48.2%
0.5 39596
22.0%
1 29795
 
16.6%
2 15155
 
8.4%
3 8725
 
4.8%
ValueCountFrequency (%)
0 86733
48.2%
0.5 39596
22.0%
1 29795
 
16.6%
2 15155
 
8.4%
3 8725
 
4.8%
ValueCountFrequency (%)
3 8725
 
4.8%
2 15155
 
8.4%
1 29795
 
16.6%
0.5 39596
22.0%
0 86733
48.2%

ORIENT
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4519316237
Minimum0
Maximum3
Zeros117132
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:37.088089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7976055481
Coefficient of variation (CV)1.764881027
Kurtosis2.995019664
Mean0.4519316237
Median Absolute Deviation (MAD)0
Skewness1.956242181
Sum81349.5
Variance0.6361746103
MonotonicityNot monotonic
2023-09-07T18:29:37.203478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 117132
65.1%
1 21373
 
11.9%
0.5 21071
 
11.7%
2 11843
 
6.6%
3 8585
 
4.8%
ValueCountFrequency (%)
0 117132
65.1%
0.5 21071
 
11.7%
1 21373
 
11.9%
2 11843
 
6.6%
3 8585
 
4.8%
ValueCountFrequency (%)
3 8585
 
4.8%
2 11843
 
6.6%
1 21373
 
11.9%
0.5 21071
 
11.7%
0 117132
65.1%

JUDGMENT
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5133635919
Minimum0
Maximum3
Zeros103767
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:37.314996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8139363079
Coefficient of variation (CV)1.585496753
Kurtosis2.648919287
Mean0.5133635919
Median Absolute Deviation (MAD)0
Skewness1.841908808
Sum92407.5
Variance0.6624923133
MonotonicityNot monotonic
2023-09-07T18:29:37.435040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 103767
57.6%
0.5 28953
 
16.1%
1 26750
 
14.9%
2 10421
 
5.8%
3 10113
 
5.6%
ValueCountFrequency (%)
0 103767
57.6%
0.5 28953
 
16.1%
1 26750
 
14.9%
2 10421
 
5.8%
3 10113
 
5.6%
ValueCountFrequency (%)
3 10113
 
5.6%
2 10421
 
5.8%
1 26750
 
14.9%
0.5 28953
 
16.1%
0 103767
57.6%

COMMUN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4615119664
Minimum0
Maximum3
Zeros116112
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:37.545557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7952077221
Coefficient of variation (CV)1.723048978
Kurtosis2.555227946
Mean0.4615119664
Median Absolute Deviation (MAD)0
Skewness1.853378535
Sum83074
Variance0.6323553213
MonotonicityNot monotonic
2023-09-07T18:29:37.662081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 116112
64.5%
0.5 21058
 
11.7%
1 20590
 
11.4%
2 14777
 
8.2%
3 7467
 
4.1%
ValueCountFrequency (%)
0 116112
64.5%
0.5 21058
 
11.7%
1 20590
 
11.4%
2 14777
 
8.2%
3 7467
 
4.1%
ValueCountFrequency (%)
3 7467
 
4.1%
2 14777
 
8.2%
1 20590
 
11.4%
0.5 21058
 
11.7%
0 116112
64.5%

HOMEHOBB
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4920723984
Minimum0
Maximum3
Zeros115531
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:37.782615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.8517596519
Coefficient of variation (CV)1.730964091
Kurtosis2.323209932
Mean0.4920723984
Median Absolute Deviation (MAD)0
Skewness1.835864452
Sum88575
Variance0.7254945046
MonotonicityNot monotonic
2023-09-07T18:29:37.897131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 115531
64.2%
0.5 20874
 
11.6%
1 19931
 
11.1%
2 12797
 
7.1%
3 10871
 
6.0%
ValueCountFrequency (%)
0 115531
64.2%
0.5 20874
 
11.6%
1 19931
 
11.1%
2 12797
 
7.1%
3 10871
 
6.0%
ValueCountFrequency (%)
3 10871
 
6.0%
2 12797
 
7.1%
1 19931
 
11.1%
0.5 20874
 
11.6%
0 115531
64.2%

PERSCARE
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3223428368
Minimum0
Maximum3
Zeros147628
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:38.013650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7724632731
Coefficient of variation (CV)2.396402789
Kurtosis4.904329486
Mean0.3223428368
Median Absolute Deviation (MAD)0
Skewness2.444012578
Sum58023
Variance0.5966995082
MonotonicityNot monotonic
2023-09-07T18:29:38.130177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 147628
82.0%
1 15126
 
8.4%
2 8853
 
4.9%
3 8397
 
4.7%
ValueCountFrequency (%)
0 147628
82.0%
1 15126
 
8.4%
2 8853
 
4.9%
3 8397
 
4.7%
ValueCountFrequency (%)
3 8397
 
4.7%
2 8853
 
4.9%
1 15126
 
8.4%
0 147628
82.0%

CDRSUM
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.830531544
Minimum0
Maximum18
Zeros81406
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:38.259878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q34
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.596920751
Coefficient of variation (CV)1.624048586
Kurtosis2.958775677
Mean2.830531544
Median Absolute Deviation (MAD)0.5
Skewness1.939678625
Sum509507
Variance21.13168039
MonotonicityNot monotonic
2023-09-07T18:29:38.401393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 81406
45.2%
0.5 18040
 
10.0%
1 9970
 
5.5%
1.5 6679
 
3.7%
18 5228
 
2.9%
2 5224
 
2.9%
2.5 4782
 
2.7%
5 4510
 
2.5%
4.5 4194
 
2.3%
6 4121
 
2.3%
Other values (24) 35850
19.9%
ValueCountFrequency (%)
0 81406
45.2%
0.5 18040
 
10.0%
1 9970
 
5.5%
1.5 6679
 
3.7%
2 5224
 
2.9%
ValueCountFrequency (%)
18 5228
2.9%
17 1302
 
0.7%
16 1315
 
0.7%
15 1142
 
0.6%
14.5 5
 
< 0.1%

CDRGLOB
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5451184418
Minimum0
Maximum3
Zeros84919
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:29:38.524916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q30.5
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7729723587
Coefficient of variation (CV)1.417989742
Kurtosis2.901802743
Mean0.5451184418
Median Absolute Deviation (MAD)0.5
Skewness1.853293226
Sum98123.5
Variance0.5974862673
MonotonicityNot monotonic
2023-09-07T18:29:38.639939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 84919
47.2%
0.5 52413
29.1%
1 22191
 
12.3%
2 11717
 
6.5%
3 8764
 
4.9%
ValueCountFrequency (%)
0 84919
47.2%
0.5 52413
29.1%
1 22191
 
12.3%
2 11717
 
6.5%
3 8764
 
4.9%
ValueCountFrequency (%)
3 8764
 
4.9%
2 11717
 
6.5%
1 22191
 
12.3%
0.5 52413
29.1%
0 84919
47.2%

COMPORT
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3115430768
Minimum-4
Maximum3
Zeros125349
Zeros (%)69.6%
Negative23879
Negative (%)13.3%
Memory size1.4 MiB
2023-09-07T18:29:38.757454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile2
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.558417448
Coefficient of variation (CV)-5.002253506
Kurtosis1.797336886
Mean-0.3115430768
Median Absolute Deviation (MAD)0
Skewness-1.392939752
Sum-56079
Variance2.428664943
MonotonicityNot monotonic
2023-09-07T18:29:38.872617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 125349
69.6%
-4 23879
 
13.3%
0.5 11228
 
6.2%
1 8970
 
5.0%
2 6881
 
3.8%
3 3697
 
2.1%
ValueCountFrequency (%)
-4 23879
 
13.3%
0 125349
69.6%
0.5 11228
 
6.2%
1 8970
 
5.0%
2 6881
 
3.8%
ValueCountFrequency (%)
3 3697
 
2.1%
2 6881
 
3.8%
1 8970
 
5.0%
0.5 11228
 
6.2%
0 125349
69.6%

CDRLANG
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2801604409
Minimum-4
Maximum3
Zeros114708
Zeros (%)63.7%
Negative23879
Negative (%)13.3%
Memory size1.4 MiB
2023-09-07T18:29:38.985649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile2
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.572427514
Coefficient of variation (CV)-5.612596513
Kurtosis1.775547257
Mean-0.2801604409
Median Absolute Deviation (MAD)0
Skewness-1.394736463
Sum-50430
Variance2.472528285
MonotonicityNot monotonic
2023-09-07T18:29:39.099797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 114708
63.7%
-4 23879
 
13.3%
0.5 21948
 
12.2%
1 8947
 
5.0%
2 6401
 
3.6%
3 4121
 
2.3%
ValueCountFrequency (%)
-4 23879
 
13.3%
0 114708
63.7%
0.5 21948
 
12.2%
1 8947
 
5.0%
2 6401
 
3.6%
ValueCountFrequency (%)
3 4121
 
2.3%
2 6401
 
3.6%
1 8947
 
5.0%
0.5 21948
 
12.2%
0 114708
63.7%

NPIQINF
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.34957001
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative10430
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:39.212311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median1
Q32
95-th percentile3
Maximum3
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.54230441
Coefficient of variation (CV)1.14281171
Kurtosis5.666409768
Mean1.34957001
Median Absolute Deviation (MAD)0
Skewness-2.153889792
Sum242928
Variance2.378702892
MonotonicityNot monotonic
2023-09-07T18:29:39.318832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 91673
50.9%
2 40728
22.6%
3 37173
20.7%
-4 10430
 
5.8%
ValueCountFrequency (%)
-4 10430
 
5.8%
1 91673
50.9%
2 40728
22.6%
3 37173
20.7%
ValueCountFrequency (%)
3 37173
20.7%
2 40728
22.6%
1 91673
50.9%
-4 10430
 
5.8%

DEL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1468356259
Minimum-4
Maximum9
Zeros158322
Zeros (%)88.0%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:39.425969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.091768218
Coefficient of variation (CV)-7.435308781
Kurtosis19.85741135
Mean-0.1468356259
Median Absolute Deviation (MAD)0
Skewness-0.8290873242
Sum-26431
Variance1.191957843
MonotonicityNot monotonic
2023-09-07T18:29:39.542994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 158322
88.0%
1 10749
 
6.0%
-4 10429
 
5.8%
9 504
 
0.3%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 158322
88.0%
1 10749
 
6.0%
9 504
 
0.3%
ValueCountFrequency (%)
9 504
 
0.3%
1 10749
 
6.0%
0 158322
88.0%
-4 10429
 
5.8%

DELSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.889408013
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10933
Negative (%)6.1%
Memory size1.4 MiB
2023-09-07T18:29:39.652514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.160535713
Coefficient of variation (CV)0.458752872
Kurtosis6.090291985
Mean6.889408013
Median Absolute Deviation (MAD)0
Skewness-2.74103583
Sum1240121
Variance9.988985991
MonotonicityNot monotonic
2023-09-07T18:29:39.769027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 158322
88.0%
-4 10933
 
6.1%
1 5782
 
3.2%
2 3514
 
2.0%
3 1435
 
0.8%
9 18
 
< 0.1%
ValueCountFrequency (%)
-4 10933
 
6.1%
1 5782
 
3.2%
2 3514
 
2.0%
3 1435
 
0.8%
8 158322
88.0%
ValueCountFrequency (%)
9 18
 
< 0.1%
8 158322
88.0%
3 1435
 
0.8%
2 3514
 
2.0%
1 5782
 
3.2%

HALL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.165968534
Minimum-4
Maximum9
Zeros162030
Zeros (%)90.0%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:39.875286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.086296332
Coefficient of variation (CV)-6.545194478
Kurtosis21.16578751
Mean-0.165968534
Median Absolute Deviation (MAD)0
Skewness-0.7037910084
Sum-29875
Variance1.180039722
MonotonicityNot monotonic
2023-09-07T18:29:39.989798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 162030
90.0%
-4 10429
 
5.8%
1 7008
 
3.9%
9 537
 
0.3%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 162030
90.0%
1 7008
 
3.9%
9 537
 
0.3%
ValueCountFrequency (%)
9 537
 
0.3%
1 7008
 
3.9%
0 162030
90.0%
-4 10429
 
5.8%

HALLSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.018360703
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10966
Negative (%)6.1%
Memory size1.4 MiB
2023-09-07T18:29:40.105316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.07370386
Coefficient of variation (CV)0.4379518223
Kurtosis7.496842699
Mean7.018360703
Median Absolute Deviation (MAD)0
Skewness-3.007064473
Sum1263333
Variance9.447655416
MonotonicityNot monotonic
2023-09-07T18:29:40.223845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 162030
90.0%
-4 10966
 
6.1%
1 4069
 
2.3%
2 2055
 
1.1%
3 863
 
0.5%
9 21
 
< 0.1%
ValueCountFrequency (%)
-4 10966
 
6.1%
1 4069
 
2.3%
2 2055
 
1.1%
3 863
 
0.5%
8 162030
90.0%
ValueCountFrequency (%)
9 21
 
< 0.1%
8 162030
90.0%
3 863
 
0.5%
2 2055
 
1.1%
1 4069
 
2.3%

AGIT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0533710362
Minimum-4
Maximum9
Zeros139146
Zeros (%)77.3%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:40.330363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.089282906
Coefficient of variation (CV)-20.40962633
Kurtosis12.69826816
Mean-0.0533710362
Median Absolute Deviation (MAD)0
Skewness-1.933930485
Sum-9607
Variance1.186537249
MonotonicityNot monotonic
2023-09-07T18:29:40.446408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 139146
77.3%
1 30219
 
16.8%
-4 10429
 
5.8%
9 210
 
0.1%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 139146
77.3%
1 30219
 
16.8%
9 210
 
0.1%
ValueCountFrequency (%)
9 210
 
0.1%
1 30219
 
16.8%
0 139146
77.3%
-4 10429
 
5.8%

AGITSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.198806693
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10639
Negative (%)5.9%
Memory size1.4 MiB
2023-09-07T18:29:40.553920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.528518852
Coefficient of variation (CV)0.5692255021
Kurtosis1.766646773
Mean6.198806693
Median Absolute Deviation (MAD)0
Skewness-1.745227113
Sum1115810
Variance12.45044529
MonotonicityNot monotonic
2023-09-07T18:29:40.671442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 139146
77.3%
1 18047
 
10.0%
-4 10639
 
5.9%
2 9575
 
5.3%
3 2562
 
1.4%
9 35
 
< 0.1%
ValueCountFrequency (%)
-4 10639
 
5.9%
1 18047
 
10.0%
2 9575
 
5.3%
3 2562
 
1.4%
8 139146
77.3%
ValueCountFrequency (%)
9 35
 
< 0.1%
8 139146
77.3%
3 2562
 
1.4%
2 9575
 
5.3%
1 18047
 
10.0%

DEPD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.016405191
Minimum-4
Maximum9
Zeros128922
Zeros (%)71.6%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:41.039213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.172898661
Coefficient of variation (CV)71.49558096
Kurtosis14.67546105
Mean0.016405191
Median Absolute Deviation (MAD)0
Skewness-0.9417952087
Sum2953
Variance1.375691269
MonotonicityNot monotonic
2023-09-07T18:29:41.157728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 128922
71.6%
1 40151
 
22.3%
-4 10429
 
5.8%
9 502
 
0.3%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 128922
71.6%
1 40151
 
22.3%
9 502
 
0.3%
ValueCountFrequency (%)
9 502
 
0.3%
1 40151
 
22.3%
0 128922
71.6%
-4 10429
 
5.8%

DEPDSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.801221084
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10931
Negative (%)6.1%
Memory size1.4 MiB
2023-09-07T18:29:41.266247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q12
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.701191546
Coefficient of variation (CV)0.6380021538
Kurtosis0.5662973758
Mean5.801221084
Median Absolute Deviation (MAD)0
Skewness-1.371952366
Sum1044243
Variance13.69881886
MonotonicityNot monotonic
2023-09-07T18:29:41.383764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 128922
71.6%
1 26452
 
14.7%
2 11366
 
6.3%
-4 10931
 
6.1%
3 2265
 
1.3%
9 68
 
< 0.1%
ValueCountFrequency (%)
-4 10931
 
6.1%
1 26452
 
14.7%
2 11366
 
6.3%
3 2265
 
1.3%
8 128922
71.6%
ValueCountFrequency (%)
9 68
 
< 0.1%
8 128922
71.6%
3 2265
 
1.3%
2 11366
 
6.3%
1 26452
 
14.7%

ANX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003216595187
Minimum-4
Maximum9
Zeros131662
Zeros (%)73.1%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:41.493280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.147488047
Coefficient of variation (CV)-356.7399628
Kurtosis14.13403395
Mean-0.003216595187
Median Absolute Deviation (MAD)0
Skewness-1.227609873
Sum-579
Variance1.316728819
MonotonicityNot monotonic
2023-09-07T18:29:41.607805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 131662
73.1%
1 37510
 
20.8%
-4 10429
 
5.8%
9 403
 
0.2%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 131662
73.1%
1 37510
 
20.8%
9 403
 
0.2%
ValueCountFrequency (%)
9 403
 
0.2%
1 37510
 
20.8%
0 131662
73.1%
-4 10429
 
5.8%

ANXSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.921690629
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10832
Negative (%)6.0%
Memory size1.4 MiB
2023-09-07T18:29:41.719024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q12
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.64337323
Coefficient of variation (CV)0.615258962
Kurtosis0.8987059111
Mean5.921690629
Median Absolute Deviation (MAD)0
Skewness-1.47845548
Sum1065928
Variance13.27416849
MonotonicityNot monotonic
2023-09-07T18:29:41.838056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 131662
73.1%
1 22441
 
12.5%
2 12000
 
6.7%
-4 10832
 
6.0%
3 3017
 
1.7%
9 52
 
< 0.1%
ValueCountFrequency (%)
-4 10832
 
6.0%
1 22441
 
12.5%
2 12000
 
6.7%
3 3017
 
1.7%
8 131662
73.1%
ValueCountFrequency (%)
9 52
 
< 0.1%
8 131662
73.1%
3 3017
 
1.7%
2 12000
 
6.7%
1 22441
 
12.5%

ELAT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1928623808
Minimum-4
Maximum9
Zeros164631
Zeros (%)91.5%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:41.949591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015626504
Coefficient of variation (CV)-5.266068475
Kurtosis18.0746777
Mean-0.1928623808
Median Absolute Deviation (MAD)0
Skewness-1.944600012
Sum-34716
Variance1.031497195
MonotonicityNot monotonic
2023-09-07T18:29:42.063108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 164631
91.5%
-4 10429
 
5.8%
1 4687
 
2.6%
9 257
 
0.1%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 164631
91.5%
1 4687
 
2.6%
9 257
 
0.1%
ValueCountFrequency (%)
9 257
 
0.1%
1 4687
 
2.6%
0 164631
91.5%
-4 10429
 
5.8%

ELATSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.116786294
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10686
Negative (%)5.9%
Memory size1.4 MiB
2023-09-07T18:29:42.173624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.983592366
Coefficient of variation (CV)0.419233098
Kurtosis8.815262392
Mean7.116786294
Median Absolute Deviation (MAD)0
Skewness-3.233501954
Sum1281050
Variance8.901823406
MonotonicityNot monotonic
2023-09-07T18:29:42.286143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 164631
91.5%
-4 10686
 
5.9%
1 2984
 
1.7%
2 1401
 
0.8%
3 293
 
0.2%
9 9
 
< 0.1%
ValueCountFrequency (%)
-4 10686
 
5.9%
1 2984
 
1.7%
2 1401
 
0.8%
3 293
 
0.2%
8 164631
91.5%
ValueCountFrequency (%)
9 9
 
< 0.1%
8 164631
91.5%
3 293
 
0.2%
2 1401
 
0.8%
1 2984
 
1.7%

APA
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01528299371
Minimum-4
Maximum9
Zeros133850
Zeros (%)74.4%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:42.395669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.142470619
Coefficient of variation (CV)-74.75437343
Kurtosis14.42063559
Mean-0.01528299371
Median Absolute Deviation (MAD)0
Skewness-1.214968738
Sum-2751
Variance1.305239115
MonotonicityNot monotonic
2023-09-07T18:29:42.512188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 133850
74.4%
1 35320
 
19.6%
-4 10429
 
5.8%
9 405
 
0.2%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 133850
74.4%
1 35320
 
19.6%
9 405
 
0.2%
ValueCountFrequency (%)
9 405
 
0.2%
1 35320
 
19.6%
0 133850
74.4%
-4 10429
 
5.8%

APASEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.03208262
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10834
Negative (%)6.0%
Memory size1.4 MiB
2023-09-07T18:29:42.628727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q13
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.581699812
Coefficient of variation (CV)0.5937749923
Kurtosis1.285494419
Mean6.03208262
Median Absolute Deviation (MAD)0
Skewness-1.589842049
Sum1085799
Variance12.82857354
MonotonicityNot monotonic
2023-09-07T18:29:42.742759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 133850
74.4%
1 18165
 
10.1%
2 11721
 
6.5%
-4 10834
 
6.0%
3 5363
 
3.0%
9 71
 
< 0.1%
ValueCountFrequency (%)
-4 10834
 
6.0%
1 18165
 
10.1%
2 11721
 
6.5%
3 5363
 
3.0%
8 133850
74.4%
ValueCountFrequency (%)
9 71
 
< 0.1%
8 133850
74.4%
3 5363
 
3.0%
2 11721
 
6.5%
1 18165
 
10.1%

DISN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1100642208
Minimum-4
Maximum9
Zeros150151
Zeros (%)83.4%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:42.856274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.077300964
Coefficient of variation (CV)-9.787930681
Kurtosis15.77602652
Mean-0.1100642208
Median Absolute Deviation (MAD)0
Skewness-1.569102745
Sum-19812
Variance1.160577366
MonotonicityNot monotonic
2023-09-07T18:29:42.969792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 150151
83.4%
1 19114
 
10.6%
-4 10429
 
5.8%
9 310
 
0.2%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 150151
83.4%
1 19114
 
10.6%
9 310
 
0.2%
ValueCountFrequency (%)
9 310
 
0.2%
1 19114
 
10.6%
0 150151
83.4%
-4 10429
 
5.8%

DISNSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.599464456
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10739
Negative (%)6.0%
Memory size1.4 MiB
2023-09-07T18:29:43.079309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.332375591
Coefficient of variation (CV)0.5049463654
Kurtosis3.755092402
Mean6.599464456
Median Absolute Deviation (MAD)0
Skewness-2.249017178
Sum1187930
Variance11.10472708
MonotonicityNot monotonic
2023-09-07T18:29:43.193707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 150151
83.4%
1 11003
 
6.1%
-4 10739
 
6.0%
2 5856
 
3.3%
3 2222
 
1.2%
9 33
 
< 0.1%
ValueCountFrequency (%)
-4 10739
 
6.0%
1 11003
 
6.1%
2 5856
 
3.3%
3 2222
 
1.2%
8 150151
83.4%
ValueCountFrequency (%)
9 33
 
< 0.1%
8 150151
83.4%
3 2222
 
1.2%
2 5856
 
3.3%
1 11003
 
6.1%

IRR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005644319015
Minimum-4
Maximum9
Zeros129035
Zeros (%)71.7%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:43.303224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.12870241
Coefficient of variation (CV)199.9714061
Kurtosis12.4637038
Mean0.005644319015
Median Absolute Deviation (MAD)0
Skewness-1.666454418
Sum1016
Variance1.27396913
MonotonicityNot monotonic
2023-09-07T18:29:43.421745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 129035
71.7%
1 40266
 
22.4%
-4 10429
 
5.8%
9 274
 
0.2%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 129035
71.7%
1 40266
 
22.4%
9 274
 
0.2%
ValueCountFrequency (%)
9 274
 
0.2%
1 40266
 
22.4%
0 129035
71.7%
-4 10429
 
5.8%

IRRSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.81929846
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10703
Negative (%)5.9%
Memory size1.4 MiB
2023-09-07T18:29:43.531260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q12
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.679334714
Coefficient of variation (CV)0.632264308
Kurtosis0.6071345487
Mean5.81929846
Median Absolute Deviation (MAD)0
Skewness-1.381887053
Sum1047497
Variance13.53750394
MonotonicityNot monotonic
2023-09-07T18:29:43.645290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 129035
71.7%
1 25840
 
14.4%
2 11485
 
6.4%
-4 10703
 
5.9%
3 2875
 
1.6%
9 66
 
< 0.1%
ValueCountFrequency (%)
-4 10703
 
5.9%
1 25840
 
14.4%
2 11485
 
6.4%
3 2875
 
1.6%
8 129035
71.7%
ValueCountFrequency (%)
9 66
 
< 0.1%
8 129035
71.7%
3 2875
 
1.6%
2 11485
 
6.4%
1 25840
 
14.4%

MOT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.116675185
Minimum-4
Maximum9
Zeros152381
Zeros (%)84.7%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:43.752813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.097481902
Coefficient of variation (CV)-9.406300934
Kurtosis17.82202289
Mean-0.116675185
Median Absolute Deviation (MAD)0
Skewness-1.066521634
Sum-21002
Variance1.204466524
MonotonicityNot monotonic
2023-09-07T18:29:43.877331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 152381
84.7%
1 16754
 
9.3%
-4 10429
 
5.8%
9 440
 
0.2%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 152381
84.7%
1 16754
 
9.3%
9 440
 
0.2%
ValueCountFrequency (%)
9 440
 
0.2%
1 16754
 
9.3%
0 152381
84.7%
-4 10429
 
5.8%

MOTSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.686018088
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10869
Negative (%)6.0%
Memory size1.4 MiB
2023-09-07T18:29:43.983848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.280586062
Coefficient of variation (CV)0.4906636534
Kurtosis4.397371019
Mean6.686018088
Median Absolute Deviation (MAD)0
Skewness-2.389001543
Sum1203510
Variance10.76224491
MonotonicityNot monotonic
2023-09-07T18:29:44.101364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 152381
84.7%
-4 10869
 
6.0%
1 8459
 
4.7%
2 5628
 
3.1%
3 2630
 
1.5%
9 37
 
< 0.1%
ValueCountFrequency (%)
-4 10869
 
6.0%
1 8459
 
4.7%
2 5628
 
3.1%
3 2630
 
1.5%
8 152381
84.7%
ValueCountFrequency (%)
9 37
 
< 0.1%
8 152381
84.7%
3 2630
 
1.5%
2 5628
 
3.1%
1 8459
 
4.7%

NITE
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05132663719
Minimum-4
Maximum9
Zeros134620
Zeros (%)74.8%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:44.209796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.416840717
Coefficient of variation (CV)27.60439402
Kurtosis18.59140363
Mean0.05132663719
Median Absolute Deviation (MAD)0
Skewness1.499787739
Sum9239
Variance2.007437616
MonotonicityNot monotonic
2023-09-07T18:29:44.327320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 134620
74.8%
1 32955
 
18.3%
-4 10429
 
5.8%
9 2000
 
1.1%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 134620
74.8%
1 32955
 
18.3%
9 2000
 
1.1%
ValueCountFrequency (%)
9 2000
 
1.1%
1 32955
 
18.3%
0 134620
74.8%
-4 10429
 
5.8%

NITESEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.996816737
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative12429
Negative (%)6.9%
Memory size1.4 MiB
2023-09-07T18:29:44.438370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q13
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.685765729
Coefficient of variation (CV)0.6146203711
Kurtosis1.236452291
Mean5.996816737
Median Absolute Deviation (MAD)0
Skewness-1.597555575
Sum1079451
Variance13.58486901
MonotonicityNot monotonic
2023-09-07T18:29:44.555907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 134620
74.8%
1 18164
 
10.1%
-4 12429
 
6.9%
2 10960
 
6.1%
3 3726
 
2.1%
9 105
 
0.1%
ValueCountFrequency (%)
-4 12429
 
6.9%
1 18164
 
10.1%
2 10960
 
6.1%
3 3726
 
2.1%
8 134620
74.8%
ValueCountFrequency (%)
9 105
 
0.1%
8 134620
74.8%
3 3726
 
2.1%
2 10960
 
6.1%
1 18164
 
10.1%

APP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06670962867
Minimum-4
Maximum9
Zeros143475
Zeros (%)79.7%
Negative10429
Negative (%)5.8%
Memory size1.4 MiB
2023-09-07T18:29:44.664432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.126052956
Coefficient of variation (CV)-16.87991642
Kurtosis16.27097766
Mean-0.06670962867
Median Absolute Deviation (MAD)0
Skewness-1.040020736
Sum-12008
Variance1.26799526
MonotonicityNot monotonic
2023-09-07T18:29:44.780955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 143475
79.7%
1 25649
 
14.2%
-4 10429
 
5.8%
9 451
 
0.3%
ValueCountFrequency (%)
-4 10429
 
5.8%
0 143475
79.7%
1 25649
 
14.2%
9 451
 
0.3%
ValueCountFrequency (%)
9 451
 
0.3%
1 25649
 
14.2%
0 143475
79.7%
-4 10429
 
5.8%

APPSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.353464367
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative10880
Negative (%)6.0%
Memory size1.4 MiB
2023-09-07T18:29:44.894466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q18
median8
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.470878602
Coefficient of variation (CV)0.5462970124
Kurtosis2.424583502
Mean6.353464367
Median Absolute Deviation (MAD)0
Skewness-1.927490335
Sum1143649
Variance12.04699827
MonotonicityNot monotonic
2023-09-07T18:29:45.012985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 143475
79.7%
1 15247
 
8.5%
-4 10880
 
6.0%
2 7756
 
4.3%
3 2534
 
1.4%
9 112
 
0.1%
ValueCountFrequency (%)
-4 10880
 
6.0%
1 15247
 
8.5%
2 7756
 
4.3%
3 2534
 
1.4%
8 143475
79.7%
ValueCountFrequency (%)
9 112
 
0.1%
8 143475
79.7%
3 2534
 
1.4%
2 7756
 
4.3%
1 15247
 
8.5%

NOGDS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3490700207
Minimum-4
Maximum1
Zeros155128
Zeros (%)86.2%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:45.125504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.215794436
Coefficient of variation (CV)-3.482952886
Kurtosis4.992356419
Mean-0.3490700207
Median Absolute Deviation (MAD)0
Skewness-2.562905578
Sum-62834
Variance1.47815611
MonotonicityNot monotonic
2023-09-07T18:29:45.239527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 155128
86.2%
-4 17542
 
9.7%
1 7334
 
4.1%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 155128
86.2%
1 7334
 
4.1%
ValueCountFrequency (%)
1 7334
 
4.1%
0 155128
86.2%
-4 17542
 
9.7%

SATIS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0743983467
Minimum-4
Maximum9
Zeros138966
Zeros (%)77.2%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:45.349042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.240779371
Coefficient of variation (CV)30.11867159
Kurtosis8.56839921
Mean0.0743983467
Median Absolute Deviation (MAD)0
Skewness2.056483525
Sum13392
Variance5.021092189
MonotonicityNot monotonic
2023-09-07T18:29:45.467556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 138966
77.2%
-4 17542
 
9.7%
1 15988
 
8.9%
9 7508
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 138966
77.2%
1 15988
 
8.9%
9 7508
 
4.2%
ValueCountFrequency (%)
9 7508
 
4.2%
1 15988
 
8.9%
0 138966
77.2%
-4 17542
 
9.7%

DROPACT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1457356503
Minimum-4
Maximum9
Zeros126149
Zeros (%)70.1%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:45.577073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.253425396
Coefficient of variation (CV)15.46241699
Kurtosis8.066224721
Mean0.1457356503
Median Absolute Deviation (MAD)0
Skewness1.933022166
Sum26233
Variance5.077926016
MonotonicityNot monotonic
2023-09-07T18:29:45.690589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 126149
70.1%
1 28802
 
16.0%
-4 17542
 
9.7%
9 7511
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 126149
70.1%
1 28802
 
16.0%
9 7511
 
4.2%
ValueCountFrequency (%)
9 7511
 
4.2%
1 28802
 
16.0%
0 126149
70.1%
-4 17542
 
9.7%

EMPTY
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04582675941
Minimum-4
Maximum9
Zeros144085
Zeros (%)80.0%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:45.799106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.234894965
Coefficient of variation (CV)48.76833959
Kurtosis8.792463572
Mean0.04582675941
Median Absolute Deviation (MAD)0
Skewness2.108043929
Sum8249
Variance4.994755504
MonotonicityNot monotonic
2023-09-07T18:29:45.916626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 144085
80.0%
-4 17542
 
9.7%
1 10872
 
6.0%
9 7505
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 144085
80.0%
1 10872
 
6.0%
9 7505
 
4.2%
ValueCountFrequency (%)
9 7505
 
4.2%
1 10872
 
6.0%
0 144085
80.0%
-4 17542
 
9.7%

BORED
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09225906091
Minimum-4
Maximum9
Zeros135423
Zeros (%)75.2%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:46.024149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.240441171
Coefficient of variation (CV)24.28423993
Kurtosis8.453777215
Mean0.09225906091
Median Absolute Deviation (MAD)0
Skewness2.020501078
Sum16607
Variance5.019576639
MonotonicityNot monotonic
2023-09-07T18:29:46.139178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 135423
75.2%
1 19572
 
10.9%
-4 17542
 
9.7%
9 7467
 
4.1%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 135423
75.2%
1 19572
 
10.9%
9 7467
 
4.1%
ValueCountFrequency (%)
9 7467
 
4.1%
1 19572
 
10.9%
0 135423
75.2%
-4 17542
 
9.7%

SPIRITS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04104353237
Minimum-4
Maximum9
Zeros145186
Zeros (%)80.7%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:46.247692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.236601791
Coefficient of variation (CV)54.49340402
Kurtosis8.817222347
Mean0.04104353237
Median Absolute Deviation (MAD)0
Skewness2.119843862
Sum7388
Variance5.002387573
MonotonicityNot monotonic
2023-09-07T18:29:46.360213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 145186
80.7%
-4 17542
 
9.7%
1 9741
 
5.4%
9 7535
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 145186
80.7%
1 9741
 
5.4%
9 7535
 
4.2%
ValueCountFrequency (%)
9 7535
 
4.2%
1 9741
 
5.4%
0 145186
80.7%
-4 17542
 
9.7%

AFRAID
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07120952868
Minimum-4
Maximum9
Zeros140052
Zeros (%)77.8%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:46.466728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.245877834
Coefficient of variation (CV)31.53900715
Kurtosis8.563960067
Mean0.07120952868
Median Absolute Deviation (MAD)0
Skewness2.068640118
Sum12818
Variance5.043967246
MonotonicityNot monotonic
2023-09-07T18:29:46.579244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 140052
77.8%
-4 17542
 
9.7%
1 14838
 
8.2%
9 7572
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 140052
77.8%
1 14838
 
8.2%
9 7572
 
4.2%
ValueCountFrequency (%)
9 7572
 
4.2%
1 14838
 
8.2%
0 140052
77.8%
-4 17542
 
9.7%

HAPPY
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07764827448
Minimum-4
Maximum9
Zeros139605
Zeros (%)77.6%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:46.685762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.255004872
Coefficient of variation (CV)29.04127473
Kurtosis8.475823113
Mean0.07764827448
Median Absolute Deviation (MAD)0
Skewness2.065890223
Sum13977
Variance5.085046972
MonotonicityNot monotonic
2023-09-07T18:29:46.800276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 139605
77.6%
-4 17542
 
9.7%
1 15196
 
8.4%
9 7661
 
4.3%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 139605
77.6%
1 15196
 
8.4%
9 7661
 
4.3%
ValueCountFrequency (%)
9 7661
 
4.3%
1 15196
 
8.4%
0 139605
77.6%
-4 17542
 
9.7%

HELPLESS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06969289571
Minimum-4
Maximum9
Zeros140037
Zeros (%)77.8%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:46.906790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.242379215
Coefficient of variation (CV)32.17514772
Kurtosis8.591621629
Mean0.06969289571
Median Absolute Deviation (MAD)0
Skewness2.067760719
Sum12545
Variance5.028264543
MonotonicityNot monotonic
2023-09-07T18:29:47.021313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 140037
77.8%
-4 17542
 
9.7%
1 14889
 
8.3%
9 7536
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 140037
77.8%
1 14889
 
8.3%
9 7536
 
4.2%
ValueCountFrequency (%)
9 7536
 
4.2%
1 14889
 
8.3%
0 140037
77.8%
-4 17542
 
9.7%

STAYHOME
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2205506544
Minimum-4
Maximum9
Zeros115866
Zeros (%)64.4%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:47.127827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.298811632
Coefficient of variation (CV)10.42305514
Kurtosis7.458027552
Mean0.2205506544
Median Absolute Deviation (MAD)0
Skewness1.852280965
Sum39700
Variance5.284534919
MonotonicityNot monotonic
2023-09-07T18:29:47.250863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 115866
64.4%
1 38687
 
21.5%
-4 17542
 
9.7%
9 7909
 
4.4%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 115866
64.4%
1 38687
 
21.5%
9 7909
 
4.4%
ValueCountFrequency (%)
9 7909
 
4.4%
1 38687
 
21.5%
0 115866
64.4%
-4 17542
 
9.7%

MEMPROB
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2443667918
Minimum-4
Maximum9
Zeros112723
Zeros (%)62.6%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:47.356383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.313974424
Coefficient of variation (CV)9.469267108
Kurtosis7.275490222
Mean0.2443667918
Median Absolute Deviation (MAD)0
Skewness1.829270208
Sum43987
Variance5.354477636
MonotonicityNot monotonic
2023-09-07T18:29:47.477901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 112723
62.6%
1 41687
 
23.2%
-4 17542
 
9.7%
9 8052
 
4.5%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 112723
62.6%
1 41687
 
23.2%
9 8052
 
4.5%
ValueCountFrequency (%)
9 8052
 
4.5%
1 41687
 
23.2%
0 112723
62.6%
-4 17542
 
9.7%

WONDRFUL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03919357348
Minimum-4
Maximum9
Zeros146879
Zeros (%)81.6%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:47.586417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.251374004
Coefficient of variation (CV)57.44242754
Kurtosis8.753619341
Mean0.03919357348
Median Absolute Deviation (MAD)0
Skewness2.139566584
Sum7055
Variance5.068684907
MonotonicityNot monotonic
2023-09-07T18:29:47.700937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 146879
81.6%
-4 17542
 
9.7%
1 7878
 
4.4%
9 7705
 
4.3%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 146879
81.6%
1 7878
 
4.4%
9 7705
 
4.3%
ValueCountFrequency (%)
9 7705
 
4.3%
1 7878
 
4.4%
0 146879
81.6%
-4 17542
 
9.7%

WRTHLESS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04519899558
Minimum-4
Maximum9
Zeros144710
Zeros (%)80.4%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:47.812987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.240487548
Coefficient of variation (CV)49.56941011
Kurtosis8.768113248
Mean0.04519899558
Median Absolute Deviation (MAD)0
Skewness2.115538475
Sum8136
Variance5.019784453
MonotonicityNot monotonic
2023-09-07T18:29:47.928478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 144710
80.4%
-4 17542
 
9.7%
1 10183
 
5.7%
9 7569
 
4.2%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 144710
80.4%
1 10183
 
5.7%
9 7569
 
4.2%
ValueCountFrequency (%)
9 7569
 
4.2%
1 10183
 
5.7%
0 144710
80.4%
-4 17542
 
9.7%

ENERGY
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2762438612
Minimum-4
Maximum9
Zeros104065
Zeros (%)57.8%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:48.038385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.285555005
Coefficient of variation (CV)8.273686137
Kurtosis7.261559144
Mean0.2762438612
Median Absolute Deviation (MAD)0
Skewness1.744384968
Sum49725
Variance5.223761682
MonotonicityNot monotonic
2023-09-07T18:29:48.154900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 104065
57.8%
1 50710
28.2%
-4 17542
 
9.7%
9 7687
 
4.3%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 104065
57.8%
1 50710
28.2%
9 7687
 
4.3%
ValueCountFrequency (%)
9 7687
 
4.3%
1 50710
28.2%
0 104065
57.8%
-4 17542
 
9.7%

HOPELESS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0297826715
Minimum-4
Maximum9
Zeros147709
Zeros (%)82.1%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:48.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.239804412
Coefficient of variation (CV)75.20495307
Kurtosis8.880486714
Mean0.0297826715
Median Absolute Deviation (MAD)0
Skewness2.146761935
Sum5361
Variance5.016723805
MonotonicityNot monotonic
2023-09-07T18:29:48.383934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 147709
82.1%
-4 17542
 
9.7%
9 7597
 
4.2%
1 7156
 
4.0%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 147709
82.1%
1 7156
 
4.0%
9 7597
 
4.2%
ValueCountFrequency (%)
9 7597
 
4.2%
1 7156
 
4.0%
0 147709
82.1%
-4 17542
 
9.7%

BETTER
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05071553965
Minimum-4
Maximum9
Zeros145101
Zeros (%)80.6%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:48.494452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.256982666
Coefficient of variation (CV)44.5027832
Kurtosis8.645126647
Mean0.05071553965
Median Absolute Deviation (MAD)0
Skewness2.12195061
Sum9129
Variance5.093970755
MonotonicityNot monotonic
2023-09-07T18:29:48.609991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 145101
80.6%
-4 17542
 
9.7%
1 9619
 
5.3%
9 7742
 
4.3%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 145101
80.6%
1 9619
 
5.3%
9 7742
 
4.3%
ValueCountFrequency (%)
9 7742
 
4.3%
1 9619
 
5.3%
0 145101
80.6%
-4 17542
 
9.7%

NACCGDS
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.880347103
Minimum-4
Maximum88
Zeros53516
Zeros (%)29.7%
Negative17542
Negative (%)9.7%
Memory size1.4 MiB
2023-09-07T18:29:48.730496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median1
Q33
95-th percentile11
Maximum88
Range92
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.46121579
Coefficient of variation (CV)3.577863504
Kurtosis18.15906055
Mean4.880347103
Median Absolute Deviation (MAD)1
Skewness4.421873911
Sum878482
Variance304.8940569
MonotonicityNot monotonic
2023-09-07T18:29:48.848459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 53516
29.7%
1 36744
20.4%
2 23194
12.9%
-4 17542
 
9.7%
3 13902
 
7.7%
4 8659
 
4.8%
88 7414
 
4.1%
5 5636
 
3.1%
6 3872
 
2.2%
7 2828
 
1.6%
Other values (8) 6697
 
3.7%
ValueCountFrequency (%)
-4 17542
 
9.7%
0 53516
29.7%
1 36744
20.4%
2 23194
12.9%
3 13902
 
7.7%
ValueCountFrequency (%)
88 7414
4.1%
15 76
 
< 0.1%
14 210
 
0.1%
13 382
 
0.2%
12 529
 
0.3%

BILLS
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.180457101
Minimum-4
Maximum9
Zeros103381
Zeros (%)57.4%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:48.958979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.429151097
Coefficient of variation (CV)2.057805485
Kurtosis2.481699542
Mean1.180457101
Median Absolute Deviation (MAD)0
Skewness1.247677679
Sum212487
Variance5.900775054
MonotonicityNot monotonic
2023-09-07T18:29:49.331415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 103381
57.4%
3 35412
 
19.7%
8 12089
 
6.7%
1 10893
 
6.1%
2 10471
 
5.8%
-4 7086
 
3.9%
9 672
 
0.4%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 103381
57.4%
1 10893
 
6.1%
2 10471
 
5.8%
3 35412
 
19.7%
ValueCountFrequency (%)
9 672
 
0.4%
8 12089
 
6.7%
3 35412
19.7%
2 10471
 
5.8%
1 10893
 
6.1%

TAXES
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.401474412
Minimum-4
Maximum9
Zeros98581
Zeros (%)54.8%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:49.442261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.644949759
Coefficient of variation (CV)1.887262256
Kurtosis1.580067387
Mean1.401474412
Median Absolute Deviation (MAD)0
Skewness1.145414111
Sum252271
Variance6.99575923
MonotonicityNot monotonic
2023-09-07T18:29:49.558823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 98581
54.8%
3 37759
 
21.0%
8 16236
 
9.0%
2 10132
 
5.6%
1 9338
 
5.2%
-4 7086
 
3.9%
9 872
 
0.5%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 98581
54.8%
1 9338
 
5.2%
2 10132
 
5.6%
3 37759
 
21.0%
ValueCountFrequency (%)
9 872
 
0.5%
8 16236
9.0%
3 37759
21.0%
2 10132
 
5.6%
1 9338
 
5.2%

SHOPPING
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6787460279
Minimum-4
Maximum9
Zeros115660
Zeros (%)64.3%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:49.665346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.799438389
Coefficient of variation (CV)2.651121796
Kurtosis5.348635786
Mean0.6787460279
Median Absolute Deviation (MAD)0
Skewness1.089265395
Sum122177
Variance3.237978515
MonotonicityNot monotonic
2023-09-07T18:29:49.780865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 115660
64.3%
3 26279
 
14.6%
2 14117
 
7.8%
1 13122
 
7.3%
-4 7086
 
3.9%
8 3332
 
1.9%
9 408
 
0.2%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 115660
64.3%
1 13122
 
7.3%
2 14117
 
7.8%
3 26279
 
14.6%
ValueCountFrequency (%)
9 408
 
0.2%
8 3332
 
1.9%
3 26279
14.6%
2 14117
7.8%
1 13122
7.3%

GAMES
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9610230884
Minimum-4
Maximum9
Zeros114501
Zeros (%)63.6%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:49.889378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.420703477
Coefficient of variation (CV)2.518881707
Kurtosis3.475627471
Mean0.9610230884
Median Absolute Deviation (MAD)0
Skewness1.613516432
Sum172988
Variance5.859805325
MonotonicityNot monotonic
2023-09-07T18:29:50.017903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 114501
63.6%
3 18324
 
10.2%
1 15927
 
8.8%
8 12161
 
6.8%
2 10700
 
5.9%
-4 7086
 
3.9%
9 1305
 
0.7%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 114501
63.6%
1 15927
 
8.8%
2 10700
 
5.9%
3 18324
 
10.2%
ValueCountFrequency (%)
9 1305
 
0.7%
8 12161
6.8%
3 18324
10.2%
2 10700
5.9%
1 15927
8.8%

STOVE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.448123375
Minimum-4
Maximum9
Zeros131754
Zeros (%)73.2%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:50.129431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.667070349
Coefficient of variation (CV)3.720114687
Kurtosis7.775063346
Mean0.448123375
Median Absolute Deviation (MAD)0
Skewness1.406075319
Sum80664
Variance2.779123548
MonotonicityNot monotonic
2023-09-07T18:29:50.248461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 131754
73.2%
3 18911
 
10.5%
1 11834
 
6.6%
2 7230
 
4.0%
-4 7086
 
3.9%
8 2720
 
1.5%
9 469
 
0.3%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 131754
73.2%
1 11834
 
6.6%
2 7230
 
4.0%
3 18911
 
10.5%
ValueCountFrequency (%)
9 469
 
0.3%
8 2720
 
1.5%
3 18911
10.5%
2 7230
 
4.0%
1 11834
6.6%

MEALPREP
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.041615742
Minimum-4
Maximum9
Zeros113751
Zeros (%)63.2%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:50.358977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.446540982
Coefficient of variation (CV)2.34879417
Kurtosis2.882900833
Mean1.041615742
Median Absolute Deviation (MAD)0
Skewness1.456977318
Sum187495
Variance5.985562777
MonotonicityNot monotonic
2023-09-07T18:29:50.479493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 113751
63.2%
3 25748
 
14.3%
8 12967
 
7.2%
1 10301
 
5.7%
2 9543
 
5.3%
-4 7086
 
3.9%
9 608
 
0.3%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 113751
63.2%
1 10301
 
5.7%
2 9543
 
5.3%
3 25748
 
14.3%
ValueCountFrequency (%)
9 608
 
0.3%
8 12967
7.2%
3 25748
14.3%
2 9543
 
5.3%
1 10301
5.7%

EVENTS
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5086998067
Minimum-4
Maximum9
Zeros119357
Zeros (%)66.3%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:50.589015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.567439535
Coefficient of variation (CV)3.08126623
Kurtosis6.625471636
Mean0.5086998067
Median Absolute Deviation (MAD)0
Skewness0.7861182871
Sum91568
Variance2.456866697
MonotonicityNot monotonic
2023-09-07T18:29:50.704530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 119357
66.3%
3 19613
 
10.9%
1 18339
 
10.2%
2 13761
 
7.6%
-4 7086
 
3.9%
8 1420
 
0.8%
9 428
 
0.2%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 119357
66.3%
1 18339
 
10.2%
2 13761
 
7.6%
3 19613
 
10.9%
ValueCountFrequency (%)
9 428
 
0.2%
8 1420
 
0.8%
3 19613
10.9%
2 13761
7.6%
1 18339
10.2%

PAYATTN
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4092575721
Minimum-4
Maximum9
Zeros121754
Zeros (%)67.6%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:50.815799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.451444669
Coefficient of variation (CV)3.546531008
Kurtosis8.408298668
Mean0.4092575721
Median Absolute Deviation (MAD)0
Skewness0.7025188134
Sum73668
Variance2.106691628
MonotonicityNot monotonic
2023-09-07T18:29:50.934859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 121754
67.6%
1 22673
 
12.6%
3 13658
 
7.6%
2 13480
 
7.5%
-4 7086
 
3.9%
8 772
 
0.4%
9 581
 
0.3%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 121754
67.6%
1 22673
 
12.6%
2 13480
 
7.5%
3 13658
 
7.6%
ValueCountFrequency (%)
9 581
 
0.3%
8 772
 
0.4%
3 13658
7.6%
2 13480
7.5%
1 22673
12.6%

REMDATES
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6958456479
Minimum-4
Maximum9
Zeros102176
Zeros (%)56.8%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:51.046887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580357486
Coefficient of variation (CV)2.271132241
Kurtosis4.028492082
Mean0.6958456479
Median Absolute Deviation (MAD)0
Skewness0.1151044018
Sum125255
Variance2.497529782
MonotonicityNot monotonic
2023-09-07T18:29:51.172422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 102176
56.8%
3 27838
 
15.5%
1 22315
 
12.4%
2 19543
 
10.9%
-4 7086
 
3.9%
8 730
 
0.4%
9 316
 
0.2%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 102176
56.8%
1 22315
 
12.4%
2 19543
 
10.9%
3 27838
 
15.5%
ValueCountFrequency (%)
9 316
 
0.2%
8 730
 
0.4%
3 27838
15.5%
2 19543
10.9%
1 22315
12.4%

TRAVEL
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7529999333
Minimum-4
Maximum9
Zeros109077
Zeros (%)60.6%
Negative7086
Negative (%)3.9%
Memory size1.4 MiB
2023-09-07T18:29:51.281938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.757166069
Coefficient of variation (CV)2.333554084
Kurtosis4.05635149
Mean0.7529999333
Median Absolute Deviation (MAD)0
Skewness0.641193735
Sum135543
Variance3.087632595
MonotonicityNot monotonic
2023-09-07T18:29:51.398975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 109077
60.6%
3 36143
 
20.1%
1 14969
 
8.3%
2 10295
 
5.7%
-4 7086
 
3.9%
8 2007
 
1.1%
9 427
 
0.2%
ValueCountFrequency (%)
-4 7086
 
3.9%
0 109077
60.6%
1 14969
 
8.3%
2 10295
 
5.7%
3 36143
 
20.1%
ValueCountFrequency (%)
9 427
 
0.2%
8 2007
 
1.1%
3 36143
20.1%
2 10295
 
5.7%
1 14969
8.3%

NACCNREX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1608797582
Minimum-4
Maximum9
Zeros33045
Zeros (%)18.4%
Negative24000
Negative (%)13.3%
Memory size1.4 MiB
2023-09-07T18:29:51.523499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median1
Q31
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.703413857
Coefficient of variation (CV)10.58811796
Kurtosis2.793965575
Mean0.1608797582
Median Absolute Deviation (MAD)0
Skewness-1.667866572
Sum28959
Variance2.901618768
MonotonicityNot monotonic
2023-09-07T18:29:51.640530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 122709
68.2%
0 33045
 
18.4%
-4 24000
 
13.3%
9 250
 
0.1%
ValueCountFrequency (%)
-4 24000
 
13.3%
0 33045
 
18.4%
1 122709
68.2%
9 250
 
0.1%
ValueCountFrequency (%)
9 250
 
0.1%
1 122709
68.2%
0 33045
 
18.4%
-4 24000
 
13.3%

NORMEXAM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.464100798
Minimum-4
Maximum2
Zeros39136
Zeros (%)21.7%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:51.749054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile2
Maximum2
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.217691824
Coefficient of variation (CV)-0.9000004489
Kurtosis-1.000060795
Mean-2.464100798
Median Absolute Deviation (MAD)0
Skewness0.8642536547
Sum-443548
Variance4.918157027
MonotonicityNot monotonic
2023-09-07T18:29:51.861386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 39136
 
21.7%
2 14019
 
7.8%
1 7162
 
4.0%
ValueCountFrequency (%)
-4 119687
66.5%
0 39136
 
21.7%
1 7162
 
4.0%
2 14019
 
7.8%
ValueCountFrequency (%)
2 14019
 
7.8%
1 7162
 
4.0%
0 39136
 
21.7%
-4 119687
66.5%

FOCLDEF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.787821382
Minimum-4
Maximum9
Zeros86802
Zeros (%)48.2%
Negative84317
Negative (%)46.8%
Memory size1.4 MiB
2023-09-07T18:29:51.966435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.170861483
Coefficient of variation (CV)-1.214249648
Kurtosis0.6302969449
Mean-1.787821382
Median Absolute Deviation (MAD)1
Skewness0.4282779667
Sum-321815
Variance4.712639578
MonotonicityNot monotonic
2023-09-07T18:29:52.076476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 86802
48.2%
-4 84317
46.8%
1 8064
 
4.5%
9 821
 
0.5%
ValueCountFrequency (%)
-4 84317
46.8%
0 86802
48.2%
1 8064
 
4.5%
9 821
 
0.5%
ValueCountFrequency (%)
9 821
 
0.5%
1 8064
 
4.5%
0 86802
48.2%
-4 84317
46.8%

GAITDIS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.770171774
Minimum-4
Maximum9
Zeros86873
Zeros (%)48.3%
Negative84317
Negative (%)46.8%
Memory size1.4 MiB
2023-09-07T18:29:52.177635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.226091667
Coefficient of variation (CV)-1.257556865
Kurtosis1.500656327
Mean-1.770171774
Median Absolute Deviation (MAD)1
Skewness0.6250966793
Sum-318638
Variance4.95548411
MonotonicityNot monotonic
2023-09-07T18:29:52.286151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 86873
48.3%
-4 84317
46.8%
1 7587
 
4.2%
9 1227
 
0.7%
ValueCountFrequency (%)
-4 84317
46.8%
0 86873
48.3%
1 7587
 
4.2%
9 1227
 
0.7%
ValueCountFrequency (%)
9 1227
 
0.7%
1 7587
 
4.2%
0 86873
48.3%
-4 84317
46.8%

EYEMOVE
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.82084287
Minimum-4
Maximum9
Zeros92354
Zeros (%)51.3%
Negative84317
Negative (%)46.8%
Memory size1.4 MiB
2023-09-07T18:29:52.390684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.130927992
Coefficient of variation (CV)-1.170297573
Kurtosis0.6812905509
Mean-1.82084287
Median Absolute Deviation (MAD)0
Skewness0.4137424546
Sum-327759
Variance4.540854106
MonotonicityNot monotonic
2023-09-07T18:29:52.498333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 92354
51.3%
-4 84317
46.8%
1 2561
 
1.4%
9 772
 
0.4%
ValueCountFrequency (%)
-4 84317
46.8%
0 92354
51.3%
1 2561
 
1.4%
9 772
 
0.4%
ValueCountFrequency (%)
9 772
 
0.4%
1 2561
 
1.4%
0 92354
51.3%
-4 84317
46.8%

PARKSIGN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.630147108
Minimum-4
Maximum1
Zeros55006
Zeros (%)30.6%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:52.607250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.93661043
Coefficient of variation (CV)-0.7363125903
Kurtosis-1.429636707
Mean-2.630147108
Median Absolute Deviation (MAD)0
Skewness0.724514629
Sum-473437
Variance3.750459957
MonotonicityNot monotonic
2023-09-07T18:29:52.729775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 55006
30.6%
1 5311
 
3.0%
ValueCountFrequency (%)
-4 119687
66.5%
0 55006
30.6%
1 5311
 
3.0%
ValueCountFrequency (%)
1 5311
 
3.0%
0 55006
30.6%
-4 119687
66.5%

RESTTRL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.642119064
Minimum-4
Maximum8
Zeros59093
Zeros (%)32.8%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:52.836302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.939389976
Coefficient of variation (CV)-0.7340282286
Kurtosis-0.2535973306
Mean-2.642119064
Median Absolute Deviation (MAD)0
Skewness0.8900944911
Sum-475592
Variance3.76123348
MonotonicityNot monotonic
2023-09-07T18:29:52.951968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59093
32.8%
1 948
 
0.5%
8 276
 
0.2%
ValueCountFrequency (%)
-4 119687
66.5%
0 59093
32.8%
1 948
 
0.5%
8 276
 
0.2%
ValueCountFrequency (%)
8 276
 
0.2%
1 948
 
0.5%
0 59093
32.8%
-4 119687
66.5%

RESTTRR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.642880158
Minimum-4
Maximum8
Zeros59048
Zeros (%)32.8%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:53.067490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.936068496
Coefficient of variation (CV)-0.7325600786
Kurtosis-0.3611231056
Mean-2.642880158
Median Absolute Deviation (MAD)0
Skewness0.8738638787
Sum-475729
Variance3.748361223
MonotonicityNot monotonic
2023-09-07T18:29:53.181029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59048
32.8%
1 1019
 
0.6%
8 250
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59048
32.8%
1 1019
 
0.6%
8 250
 
0.1%
ValueCountFrequency (%)
8 250
 
0.1%
1 1019
 
0.6%
0 59048
32.8%
-4 119687
66.5%

SLOWINGL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.634474789
Minimum-4
Maximum8
Zeros56849
Zeros (%)31.6%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:53.286544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.941812715
Coefficient of variation (CV)-0.7370777365
Kurtosis-0.7816457227
Mean-2.634474789
Median Absolute Deviation (MAD)0
Skewness0.8169594779
Sum-474216
Variance3.770636619
MonotonicityNot monotonic
2023-09-07T18:29:53.403063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 56849
31.6%
1 3316
 
1.8%
8 152
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 56849
31.6%
1 3316
 
1.8%
8 152
 
0.1%
ValueCountFrequency (%)
8 152
 
0.1%
1 3316
 
1.8%
0 56849
31.6%
-4 119687
66.5%

SLOWINGR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.635174774
Minimum-4
Maximum8
Zeros57052
Zeros (%)31.7%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:53.512577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.941563829
Coefficient of variation (CV)-0.7367874982
Kurtosis-0.7350940413
Mean-2.635174774
Median Absolute Deviation (MAD)0
Skewness0.8234160053
Sum-474342
Variance3.769670102
MonotonicityNot monotonic
2023-09-07T18:29:53.627102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 57052
31.7%
1 3102
 
1.7%
8 163
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 57052
31.7%
1 3102
 
1.7%
8 163
 
0.1%
ValueCountFrequency (%)
8 163
 
0.1%
1 3102
 
1.7%
0 57052
31.7%
-4 119687
66.5%

RIGIDL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.6364803
Minimum-4
Maximum8
Zeros57658
Zeros (%)32.0%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:53.732620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.943700301
Coefficient of variation (CV)-0.7372330073
Kurtosis-0.5122387051
Mean-2.6364803
Median Absolute Deviation (MAD)0
Skewness0.8553920053
Sum-474577
Variance3.777970859
MonotonicityNot monotonic
2023-09-07T18:29:53.845681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 57658
32.0%
1 2443
 
1.4%
8 216
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 57658
32.0%
1 2443
 
1.4%
8 216
 
0.1%
ValueCountFrequency (%)
8 216
 
0.1%
1 2443
 
1.4%
0 57658
32.0%
-4 119687
66.5%

RIGIDR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.637119175
Minimum-4
Maximum8
Zeros57619
Zeros (%)32.0%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:53.951195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.940906608
Coefficient of variation (CV)-0.7359950307
Kurtosis-0.6035760621
Mean-2.637119175
Median Absolute Deviation (MAD)0
Skewness0.8416489686
Sum-474692
Variance3.767118462
MonotonicityNot monotonic
2023-09-07T18:29:54.077722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 57619
32.0%
1 2504
 
1.4%
8 194
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 57619
32.0%
1 2504
 
1.4%
8 194
 
0.1%
ValueCountFrequency (%)
8 194
 
0.1%
1 2504
 
1.4%
0 57619
32.0%
-4 119687
66.5%

BRADY
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.634569232
Minimum-4
Maximum8
Zeros56782
Zeros (%)31.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:54.183234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.940698658
Coefficient of variation (CV)-0.7366284532
Kurtosis-0.8323652518
Mean-2.634569232
Median Absolute Deviation (MAD)0
Skewness0.8094954715
Sum-474233
Variance3.766311281
MonotonicityNot monotonic
2023-09-07T18:29:54.296816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 56782
31.5%
1 3395
 
1.9%
8 140
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 56782
31.5%
1 3395
 
1.9%
8 140
 
0.1%
ValueCountFrequency (%)
8 140
 
0.1%
1 3395
 
1.9%
0 56782
31.5%
-4 119687
66.5%

PARKGAIT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.635135886
Minimum-4
Maximum8
Zeros57808
Zeros (%)32.1%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:54.402337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.950339583
Coefficient of variation (CV)-0.7401286566
Kurtosis-0.2842312397
Mean-2.635135886
Median Absolute Deviation (MAD)0
Skewness0.8897216141
Sum-474335
Variance3.803824489
MonotonicityNot monotonic
2023-09-07T18:29:54.513853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 57808
32.1%
1 2237
 
1.2%
8 272
 
0.2%
ValueCountFrequency (%)
-4 119687
66.5%
0 57808
32.1%
1 2237
 
1.2%
8 272
 
0.2%
ValueCountFrequency (%)
8 272
 
0.2%
1 2237
 
1.2%
0 57808
32.1%
-4 119687
66.5%

POSTINST
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.630819315
Minimum-4
Maximum8
Zeros57885
Zeros (%)32.2%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:54.623376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.9669334
Coefficient of variation (CV)-0.7476505091
Kurtosis0.1845879425
Mean-2.630819315
Median Absolute Deviation (MAD)0
Skewness0.9619975027
Sum-473558
Variance3.868827002
MonotonicityNot monotonic
2023-09-07T18:29:54.736913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 57885
32.2%
1 2038
 
1.1%
8 394
 
0.2%
ValueCountFrequency (%)
-4 119687
66.5%
0 57885
32.2%
1 2038
 
1.1%
8 394
 
0.2%
ValueCountFrequency (%)
8 394
 
0.2%
1 2038
 
1.1%
0 57885
32.2%
-4 119687
66.5%

CVDSIGNS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.652052177
Minimum-4
Maximum1
Zeros58949
Zeros (%)32.7%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:54.853950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.900749112
Coefficient of variation (CV)-0.7167087919
Kurtosis-1.487095665
Mean-2.652052177
Median Absolute Deviation (MAD)0
Skewness0.7063167781
Sum-477380
Variance3.612847185
MonotonicityNot monotonic
2023-09-07T18:29:54.963468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 58949
32.7%
1 1368
 
0.8%
ValueCountFrequency (%)
-4 119687
66.5%
0 58949
32.7%
1 1368
 
0.8%
ValueCountFrequency (%)
1 1368
 
0.8%
0 58949
32.7%
-4 119687
66.5%

CORTDEF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654107686
Minimum-4
Maximum8
Zeros59914
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:55.068987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.90429219
Coefficient of variation (CV)-0.7174886683
Kurtosis-1.091455644
Mean-2.654107686
Median Absolute Deviation (MAD)0
Skewness0.7616052217
Sum-477750
Variance3.626328743
MonotonicityNot monotonic
2023-09-07T18:29:55.184502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59914
33.3%
1 318
 
0.2%
8 85
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59914
33.3%
1 318
 
0.2%
8 85
 
< 0.1%
ValueCountFrequency (%)
8 85
 
< 0.1%
1 318
 
0.2%
0 59914
33.3%
-4 119687
66.5%

SIVDFIND
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.653374369
Minimum-4
Maximum8
Zeros59726
Zeros (%)33.2%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:55.291634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.904853093
Coefficient of variation (CV)-0.7178983542
Kurtosis-1.127555582
Mean-2.653374369
Median Absolute Deviation (MAD)0
Skewness0.7568627243
Sum-477618
Variance3.628465306
MonotonicityNot monotonic
2023-09-07T18:29:55.411152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59726
33.2%
1 514
 
0.3%
8 77
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59726
33.2%
1 514
 
0.3%
8 77
 
< 0.1%
ValueCountFrequency (%)
8 77
 
< 0.1%
1 514
 
0.3%
0 59726
33.2%
-4 119687
66.5%

CVDMOTL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.653807693
Minimum-4
Maximum8
Zeros59608
Zeros (%)33.1%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:55.522668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.901846806
Coefficient of variation (CV)-0.7166483128
Kurtosis-1.259612578
Mean-2.653807693
Median Absolute Deviation (MAD)0
Skewness0.7377691912
Sum-477696
Variance3.617021273
MonotonicityNot monotonic
2023-09-07T18:29:55.636189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59608
33.1%
1 660
 
0.4%
8 49
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59608
33.1%
1 660
 
0.4%
8 49
 
< 0.1%
ValueCountFrequency (%)
8 49
 
< 0.1%
1 660
 
0.4%
0 59608
33.1%
-4 119687
66.5%

CVDMOTR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654229906
Minimum-4
Maximum8
Zeros59831
Zeros (%)33.2%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:55.742214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.902863933
Coefficient of variation (CV)-0.7169175243
Kurtosis-1.161763473
Mean-2.654229906
Median Absolute Deviation (MAD)0
Skewness0.7514917051
Sum-477772
Variance3.620891148
MonotonicityNot monotonic
2023-09-07T18:29:55.856730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59831
33.2%
1 416
 
0.2%
8 70
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59831
33.2%
1 416
 
0.2%
8 70
 
< 0.1%
ValueCountFrequency (%)
8 70
 
< 0.1%
1 416
 
0.2%
0 59831
33.2%
-4 119687
66.5%

CORTVISL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654491011
Minimum-4
Maximum8
Zeros60130
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:55.962248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.905372329
Coefficient of variation (CV)-0.7177919687
Kurtosis-0.9943972333
Mean-2.654491011
Median Absolute Deviation (MAD)0
Skewness0.7752670882
Sum-477819
Variance3.630443712
MonotonicityNot monotonic
2023-09-07T18:29:56.075769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60130
33.4%
8 106
 
0.1%
1 81
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60130
33.4%
1 81
 
< 0.1%
8 106
 
0.1%
ValueCountFrequency (%)
8 106
 
0.1%
1 81
 
< 0.1%
0 60130
33.4%
-4 119687
66.5%

CORTVISR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654329904
Minimum-4
Maximum8
Zeros60143
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:56.183285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.906128734
Coefficient of variation (CV)-0.7181205063
Kurtosis-0.9664577785
Mean-2.654329904
Median Absolute Deviation (MAD)0
Skewness0.779363391
Sum-477790
Variance3.633326752
MonotonicityNot monotonic
2023-09-07T18:29:56.295802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60143
33.4%
8 112
 
0.1%
1 62
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60143
33.4%
1 62
 
< 0.1%
8 112
 
0.1%
ValueCountFrequency (%)
8 112
 
0.1%
1 62
 
< 0.1%
0 60143
33.4%
-4 119687
66.5%

SOMATL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654502122
Minimum-4
Maximum8
Zeros60139
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:56.406319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.905435572
Coefficient of variation (CV)-0.7178127891
Kurtosis-0.989777694
Mean-2.654502122
Median Absolute Deviation (MAD)0
Skewness0.7759219019
Sum-477821
Variance3.630684719
MonotonicityNot monotonic
2023-09-07T18:29:56.518863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60139
33.4%
8 107
 
0.1%
1 71
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60139
33.4%
1 71
 
< 0.1%
8 107
 
0.1%
ValueCountFrequency (%)
8 107
 
0.1%
1 71
 
< 0.1%
0 60139
33.4%
-4 119687
66.5%

SOMATR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.654174352
Minimum-4
Maximum8
Zeros60143
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:56.626384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.90671248
Coefficient of variation (CV)-0.7183825279
Kurtosis-0.9478371182
Mean-2.654174352
Median Absolute Deviation (MAD)0
Skewness0.7821237159
Sum-477762
Variance3.635552482
MonotonicityNot monotonic
2023-09-07T18:29:56.737903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60143
33.4%
8 116
 
0.1%
1 58
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60143
33.4%
1 58
 
< 0.1%
8 116
 
0.1%
ValueCountFrequency (%)
8 116
 
0.1%
1 58
 
< 0.1%
0 60143
33.4%
-4 119687
66.5%

POSTCORT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657235395
Minimum-4
Maximum1
Zeros59882
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:57.108953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.892127002
Coefficient of variation (CV)-0.7120660086
Kurtosis-1.503624122
Mean-2.657235395
Median Absolute Deviation (MAD)0
Skewness0.7012366755
Sum-478313
Variance3.58014459
MonotonicityNot monotonic
2023-09-07T18:29:57.229419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 59882
33.3%
1 435
 
0.2%
ValueCountFrequency (%)
-4 119687
66.5%
0 59882
33.3%
1 435
 
0.2%
ValueCountFrequency (%)
1 435
 
0.2%
0 59882
33.3%
-4 119687
66.5%

PSPCBS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655402102
Minimum-4
Maximum1
Zeros59552
Zeros (%)33.1%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:57.359459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.895182726
Coefficient of variation (CV)-0.7137083776
Kurtosis-1.497638747
Mean-2.655402102
Median Absolute Deviation (MAD)0
Skewness0.7030696368
Sum-477983
Variance3.591717566
MonotonicityNot monotonic
2023-09-07T18:29:57.480973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 59552
33.1%
1 765
 
0.4%
ValueCountFrequency (%)
-4 119687
66.5%
0 59552
33.1%
1 765
 
0.4%
ValueCountFrequency (%)
1 765
 
0.4%
0 59552
33.1%
-4 119687
66.5%

EYEPSP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655863203
Minimum-4
Maximum8
Zeros59943
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:57.596497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898024257
Coefficient of variation (CV)-0.7146543749
Kurtosis-1.288023297
Mean-2.655863203
Median Absolute Deviation (MAD)0
Skewness0.7325803732
Sum-478066
Variance3.60249608
MonotonicityNot monotonic
2023-09-07T18:29:57.719013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59943
33.3%
1 330
 
0.2%
8 44
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59943
33.3%
1 330
 
0.2%
8 44
 
< 0.1%
ValueCountFrequency (%)
8 44
 
< 0.1%
1 330
 
0.2%
0 59943
33.3%
-4 119687
66.5%

DYSPSP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.656235417
Minimum-4
Maximum8
Zeros60031
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:57.837307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.897651162
Coefficient of variation (CV)-0.7144137715
Kurtosis-1.274618201
Mean-2.656235417
Median Absolute Deviation (MAD)0
Skewness0.7342773468
Sum-478133
Variance3.601079934
MonotonicityNot monotonic
2023-09-07T18:29:57.955474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60031
33.3%
1 239
 
0.1%
8 47
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60031
33.3%
1 239
 
0.1%
8 47
 
< 0.1%
ValueCountFrequency (%)
8 47
 
< 0.1%
1 239
 
0.1%
0 60031
33.3%
-4 119687
66.5%

AXIALPSP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655940979
Minimum-4
Maximum8
Zeros59999
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:58.064985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898386632
Coefficient of variation (CV)-0.7147698866
Kurtosis-1.259664713
Mean-2.655940979
Median Absolute Deviation (MAD)0
Skewness0.7365707955
Sum-478080
Variance3.603871806
MonotonicityNot monotonic
2023-09-07T18:29:58.196511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 59999
33.3%
1 268
 
0.1%
8 50
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 59999
33.3%
1 268
 
0.1%
8 50
 
< 0.1%
ValueCountFrequency (%)
8 50
 
< 0.1%
1 268
 
0.1%
0 59999
33.3%
-4 119687
66.5%

GAITPSP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655796538
Minimum-4
Maximum8
Zeros60029
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:58.308032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.899282057
Coefficient of variation (CV)-0.7151459196
Kurtosis-1.221392623
Mean-2.655796538
Median Absolute Deviation (MAD)0
Skewness0.7421005533
Sum-478054
Variance3.607272334
MonotonicityNot monotonic
2023-09-07T18:29:58.428559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60029
33.3%
1 230
 
0.1%
8 58
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60029
33.3%
1 230
 
0.1%
8 58
 
< 0.1%
ValueCountFrequency (%)
8 58
 
< 0.1%
1 230
 
0.1%
0 60029
33.3%
-4 119687
66.5%

APRAXSP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655452101
Minimum-4
Maximum8
Zeros60016
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:58.539075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.900427298
Coefficient of variation (CV)-0.7156699595
Kurtosis-1.187598074
Mean-2.655452101
Median Absolute Deviation (MAD)0
Skewness0.7471114994
Sum-477992
Variance3.611623914
MonotonicityNot monotonic
2023-09-07T18:29:58.653106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60016
33.3%
1 236
 
0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60016
33.3%
1 236
 
0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
8 65
 
< 0.1%
1 236
 
0.1%
0 60016
33.3%
-4 119687
66.5%

APRAXL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.65608542
Minimum-4
Maximum8
Zeros60018
Zeros (%)33.3%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:58.763630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898064535
Coefficient of variation (CV)-0.7146097487
Kurtosis-1.264749851
Mean-2.65608542
Median Absolute Deviation (MAD)0
Skewness0.7357657143
Sum-478106
Variance3.602648978
MonotonicityNot monotonic
2023-09-07T18:29:58.879148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60018
33.3%
1 250
 
0.1%
8 49
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60018
33.3%
1 250
 
0.1%
8 49
 
< 0.1%
ValueCountFrequency (%)
8 49
 
< 0.1%
1 250
 
0.1%
0 60018
33.3%
-4 119687
66.5%

APRAXR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.65620764
Minimum-4
Maximum8
Zeros60061
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:58.990662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898107164
Coefficient of variation (CV)-0.7145929165
Kurtosis-1.250761284
Mean-2.65620764
Median Absolute Deviation (MAD)0
Skewness0.7376866136
Sum-478128
Variance3.602810806
MonotonicityNot monotonic
2023-09-07T18:29:59.107183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60061
33.4%
1 204
 
0.1%
8 52
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60061
33.4%
1 204
 
0.1%
8 52
 
< 0.1%
ValueCountFrequency (%)
8 52
 
< 0.1%
1 204
 
0.1%
0 60061
33.4%
-4 119687
66.5%

CORTSENL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655135441
Minimum-4
Maximum8
Zeros60113
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:59.212746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.902752365
Coefficient of variation (CV)-0.7166309995
Kurtosis-1.08370656
Mean-2.655135441
Median Absolute Deviation (MAD)0
Skewness0.7621182472
Sum-477935
Variance3.620466563
MonotonicityNot monotonic
2023-09-07T18:29:59.327265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60113
33.4%
1 117
 
0.1%
8 87
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60113
33.4%
1 117
 
0.1%
8 87
 
< 0.1%
ValueCountFrequency (%)
8 87
 
< 0.1%
1 117
 
0.1%
0 60113
33.4%
-4 119687
66.5%

CORTSENR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.655407658
Minimum-4
Maximum8
Zeros60141
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:59.436786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.902055573
Coefficient of variation (CV)-0.71629513
Kurtosis-1.098178829
Mean-2.655407658
Median Absolute Deviation (MAD)0
Skewness0.759893096
Sum-477984
Variance3.617815404
MonotonicityNot monotonic
2023-09-07T18:29:59.554812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60141
33.4%
1 92
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60141
33.4%
1 92
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
8 84
 
< 0.1%
1 92
 
0.1%
0 60141
33.4%
-4 119687
66.5%

ATAXL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.65659652
Minimum-4
Maximum8
Zeros60208
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:59.663329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898361934
Coefficient of variation (CV)-0.7145842132
Kurtosis-1.199361229
Mean-2.65659652
Median Absolute Deviation (MAD)0
Skewness0.7447794061
Sum-478198
Variance3.603778033
MonotonicityNot monotonic
2023-09-07T18:29:59.774847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60208
33.4%
8 63
 
< 0.1%
1 46
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60208
33.4%
1 46
 
< 0.1%
8 63
 
< 0.1%
ValueCountFrequency (%)
8 63
 
< 0.1%
1 46
 
< 0.1%
0 60208
33.4%
-4 119687
66.5%

ATAXR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.656607631
Minimum-4
Maximum8
Zeros60224
Zeros (%)33.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:29:59.881368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.898507335
Coefficient of variation (CV)-0.7146359562
Kurtosis-1.189900319
Mean-2.656607631
Median Absolute Deviation (MAD)0
Skewness0.7461199723
Sum-478200
Variance3.604330099
MonotonicityNot monotonic
2023-09-07T18:29:59.991905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60224
33.5%
8 65
 
< 0.1%
1 28
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60224
33.5%
1 28
 
< 0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
8 65
 
< 0.1%
1 28
 
< 0.1%
0 60224
33.5%
-4 119687
66.5%

ALIENLML
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657029844
Minimum-4
Maximum8
Zeros60223
Zeros (%)33.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:00.104422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.896903324
Coefficient of variation (CV)-0.7139187121
Kurtosis-1.243086407
Mean-2.657029844
Median Absolute Deviation (MAD)0
Skewness0.7383090861
Sum-478276
Variance3.598242221
MonotonicityNot monotonic
2023-09-07T18:30:00.216941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60223
33.5%
8 54
 
< 0.1%
1 40
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60223
33.5%
1 40
 
< 0.1%
8 54
 
< 0.1%
ValueCountFrequency (%)
8 54
 
< 0.1%
1 40
 
< 0.1%
0 60223
33.5%
-4 119687
66.5%

ALIENLMR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.656979845
Minimum-4
Maximum8
Zeros60228
Zeros (%)33.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:00.328464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.897150528
Coefficient of variation (CV)-0.7140251862
Kurtosis-1.233446296
Mean-2.656979845
Median Absolute Deviation (MAD)0
Skewness0.7397087167
Sum-478267
Variance3.599180128
MonotonicityNot monotonic
2023-09-07T18:30:00.442581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60228
33.5%
8 56
 
< 0.1%
1 33
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60228
33.5%
1 33
 
< 0.1%
8 56
 
< 0.1%
ValueCountFrequency (%)
8 56
 
< 0.1%
1 33
 
< 0.1%
0 60228
33.5%
-4 119687
66.5%

DYSTONL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657152063
Minimum-4
Maximum8
Zeros60175
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:00.551088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.895879596
Coefficient of variation (CV)-0.7135006015
Kurtosis-1.291134862
Mean-2.657152063
Median Absolute Deviation (MAD)0
Skewness0.7314103539
Sum-478298
Variance3.594359441
MonotonicityNot monotonic
2023-09-07T18:30:00.662614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60175
33.4%
1 98
 
0.1%
8 44
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60175
33.4%
1 98
 
0.1%
8 44
 
< 0.1%
ValueCountFrequency (%)
8 44
 
< 0.1%
1 98
 
0.1%
0 60175
33.4%
-4 119687
66.5%

DYSTONR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657163174
Minimum-4
Maximum8
Zeros60184
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:00.768133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.89594314
Coefficient of variation (CV)-0.7135215323
Kurtosis-1.286376795
Mean-2.657163174
Median Absolute Deviation (MAD)0
Skewness0.7320799771
Sum-478300
Variance3.594600389
MonotonicityNot monotonic
2023-09-07T18:30:00.881653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60184
33.4%
1 88
 
< 0.1%
8 45
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60184
33.4%
1 88
 
< 0.1%
8 45
 
< 0.1%
ValueCountFrequency (%)
8 45
 
< 0.1%
1 88
 
< 0.1%
0 60184
33.4%
-4 119687
66.5%

MYOCLLT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657218728
Minimum-4
Maximum8
Zeros60208
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:00.989168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.896014717
Coefficient of variation (CV)-0.7135335518
Kurtosis-1.27694391
Mean-2.657218728
Median Absolute Deviation (MAD)0
Skewness0.733388509
Sum-478310
Variance3.594871808
MonotonicityNot monotonic
2023-09-07T18:30:01.101197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60208
33.4%
1 62
 
< 0.1%
8 47
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60208
33.4%
1 62
 
< 0.1%
8 47
 
< 0.1%
ValueCountFrequency (%)
8 47
 
< 0.1%
1 62
 
< 0.1%
0 60208
33.4%
-4 119687
66.5%

MYOCLRT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.657174285
Minimum-4
Maximum8
Zeros60214
Zeros (%)33.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:01.207716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.896252793
Coefficient of variation (CV)-0.7136350835
Kurtosis-1.26727891
Mean-2.657174285
Median Absolute Deviation (MAD)0
Skewness0.7347872884
Sum-478302
Variance3.595774654
MonotonicityNot monotonic
2023-09-07T18:30:01.324233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 119687
66.5%
0 60214
33.5%
1 54
 
< 0.1%
8 49
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60214
33.5%
1 54
 
< 0.1%
8 49
 
< 0.1%
ValueCountFrequency (%)
8 49
 
< 0.1%
1 54
 
< 0.1%
0 60214
33.5%
-4 119687
66.5%

ALSFIND
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.658552032
Minimum-4
Maximum1
Zeros60119
Zeros (%)33.4%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:01.432762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.88992829
Coefficient of variation (CV)-0.7108863273
Kurtosis-1.508018846
Mean-2.658552032
Median Absolute Deviation (MAD)0
Skewness0.6998954473
Sum-478550
Variance3.571828942
MonotonicityNot monotonic
2023-09-07T18:30:01.555746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 60119
33.4%
1 198
 
0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60119
33.4%
1 198
 
0.1%
ValueCountFrequency (%)
1 198
 
0.1%
0 60119
33.4%
-4 119687
66.5%

GAITNPH
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.659224239
Minimum-4
Maximum1
Zeros60240
Zeros (%)33.5%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:01.661269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.8888044
Coefficient of variation (CV)-0.710283989
Kurtosis-1.510293955
Mean-2.659224239
Median Absolute Deviation (MAD)0
Skewness0.6992025999
Sum-478671
Variance3.567582063
MonotonicityNot monotonic
2023-09-07T18:30:01.773791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 60240
33.5%
1 77
 
< 0.1%
ValueCountFrequency (%)
-4 119687
66.5%
0 60240
33.5%
1 77
 
< 0.1%
ValueCountFrequency (%)
1 77
 
< 0.1%
0 60240
33.5%
-4 119687
66.5%

OTHNEUR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.584237017
Minimum-4
Maximum1
Zeros46742
Zeros (%)26.0%
Negative119687
Negative (%)66.5%
Memory size1.4 MiB
2023-09-07T18:30:01.882313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.008921224
Coefficient of variation (CV)-0.7773749893
Kurtosis-1.360744651
Mean-2.584237017
Median Absolute Deviation (MAD)0
Skewness0.7483518096
Sum-465173
Variance4.035764482
MonotonicityNot monotonic
2023-09-07T18:30:01.995829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 119687
66.5%
0 46742
 
26.0%
1 13575
 
7.5%
ValueCountFrequency (%)
-4 119687
66.5%
0 46742
 
26.0%
1 13575
 
7.5%
ValueCountFrequency (%)
1 13575
 
7.5%
0 46742
 
26.0%
-4 119687
66.5%

B9CHG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.751538855
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative172020
Negative (%)95.6%
Memory size1.4 MiB
2023-09-07T18:30:02.100345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.168269682
Coefficient of variation (CV)-0.3114107911
Kurtosis20.10007579
Mean-3.751538855
Median Absolute Deviation (MAD)0
Skewness4.625221562
Sum-675292
Variance1.364854051
MonotonicityNot monotonic
2023-09-07T18:30:02.212863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172020
95.6%
1 5353
 
3.0%
3 2173
 
1.2%
2 458
 
0.3%
ValueCountFrequency (%)
-4 172020
95.6%
1 5353
 
3.0%
2 458
 
0.3%
3 2173
 
1.2%
ValueCountFrequency (%)
3 2173
 
1.2%
2 458
 
0.3%
1 5353
 
3.0%
-4 172020
95.6%

DECSUB
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.070742872
Minimum0
Maximum9
Zeros83090
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:02.340386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.125443232
Coefficient of variation (CV)1.985017399
Kurtosis8.321905875
Mean1.070742872
Median Absolute Deviation (MAD)1
Skewness3.091310673
Sum192738
Variance4.517508932
MonotonicityNot monotonic
2023-09-07T18:30:02.448430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 84300
46.8%
0 83090
46.2%
9 7526
 
4.2%
8 5088
 
2.8%
ValueCountFrequency (%)
0 83090
46.2%
1 84300
46.8%
8 5088
 
2.8%
9 7526
 
4.2%
ValueCountFrequency (%)
9 7526
 
4.2%
8 5088
 
2.8%
1 84300
46.8%
0 83090
46.2%

DECIN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.166418524
Minimum0
Maximum9
Zeros80644
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:02.555672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.272252037
Coefficient of variation (CV)1.948058943
Kurtosis6.849660196
Mean1.166418524
Median Absolute Deviation (MAD)1
Skewness2.872831551
Sum209960
Variance5.163129318
MonotonicityNot monotonic
2023-09-07T18:30:02.661188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 84980
47.2%
0 80644
44.8%
9 9940
 
5.5%
8 4440
 
2.5%
ValueCountFrequency (%)
0 80644
44.8%
1 84980
47.2%
8 4440
 
2.5%
9 9940
 
5.5%
ValueCountFrequency (%)
9 9940
 
5.5%
8 4440
 
2.5%
1 84980
47.2%
0 80644
44.8%

DECCLIN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.386685851
Minimum-4
Maximum1
Zeros47878
Zeros (%)26.6%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:02.766701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.274479442
Coefficient of variation (CV)-1.640226905
Kurtosis-1.848379898
Mean-1.386685851
Median Absolute Deviation (MAD)1
Skewness-0.2250279133
Sum-249609
Variance5.173256731
MonotonicityNot monotonic
2023-09-07T18:30:02.880218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 76347
42.4%
1 55779
31.0%
0 47878
26.6%
ValueCountFrequency (%)
-4 76347
42.4%
0 47878
26.6%
1 55779
31.0%
ValueCountFrequency (%)
1 55779
31.0%
0 47878
26.6%
-4 76347
42.4%

DECCLCOG
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.103792138
Minimum-4
Maximum1
Zeros40410
Zeros (%)22.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:02.989739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.233267274
Coefficient of variation (CV)-1.061543692
Kurtosis-1.779072415
Mean-2.103792138
Median Absolute Deviation (MAD)0
Skewness0.3711201327
Sum-378691
Variance4.987482717
MonotonicityNot monotonic
2023-09-07T18:30:03.102259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 40410
 
22.4%
1 35937
 
20.0%
ValueCountFrequency (%)
-4 103657
57.6%
0 40410
 
22.4%
1 35937
 
20.0%
ValueCountFrequency (%)
1 35937
 
20.0%
0 40410
 
22.4%
-4 103657
57.6%

COGMEM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4832614831
Minimum0
Maximum9
Zeros93919
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:03.204780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5430657935
Coefficient of variation (CV)1.123751452
Kurtosis35.69357546
Mean0.4832614831
Median Absolute Deviation (MAD)0
Skewness2.465188734
Sum86989
Variance0.294920456
MonotonicityNot monotonic
2023-09-07T18:30:03.312294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 93919
52.2%
1 85972
47.8%
9 113
 
0.1%
ValueCountFrequency (%)
0 93919
52.2%
1 85972
47.8%
9 113
 
0.1%
ValueCountFrequency (%)
9 113
 
0.1%
1 85972
47.8%
0 93919
52.2%

COGORI
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.2960212
Minimum-4
Maximum9
Zeros52073
Zeros (%)28.9%
Negative108712
Negative (%)60.4%
Memory size1.4 MiB
2023-09-07T18:30:03.417816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.151262713
Coefficient of variation (CV)-0.9369524607
Kurtosis-0.5742615878
Mean-2.2960212
Median Absolute Deviation (MAD)0
Skewness0.664612048
Sum-413293
Variance4.627931259
MonotonicityNot monotonic
2023-09-07T18:30:03.526331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 108712
60.4%
0 52073
28.9%
1 18927
 
10.5%
9 292
 
0.2%
ValueCountFrequency (%)
-4 108712
60.4%
0 52073
28.9%
1 18927
 
10.5%
9 292
 
0.2%
ValueCountFrequency (%)
9 292
 
0.2%
1 18927
 
10.5%
0 52073
28.9%
-4 108712
60.4%

COGJUDG
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3899246683
Minimum0
Maximum9
Zeros112200
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:03.646758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5975640186
Coefficient of variation (CV)1.532511449
Kurtosis68.87814101
Mean0.3899246683
Median Absolute Deviation (MAD)0
Skewness5.178222688
Sum70188
Variance0.3570827563
MonotonicityNot monotonic
2023-09-07T18:30:03.753280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 112200
62.3%
1 67506
37.5%
9 298
 
0.2%
ValueCountFrequency (%)
0 112200
62.3%
1 67506
37.5%
9 298
 
0.2%
ValueCountFrequency (%)
9 298
 
0.2%
1 67506
37.5%
0 112200
62.3%

COGLANG
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2808548699
Minimum0
Maximum9
Zeros132537
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:03.860327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5969706532
Coefficient of variation (CV)2.12554852
Kurtosis95.17696909
Mean0.2808548699
Median Absolute Deviation (MAD)0
Skewness7.062102237
Sum50555
Variance0.3563739607
MonotonicityNot monotonic
2023-09-07T18:30:03.964848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 132537
73.6%
1 47081
 
26.2%
9 386
 
0.2%
ValueCountFrequency (%)
0 132537
73.6%
1 47081
 
26.2%
9 386
 
0.2%
ValueCountFrequency (%)
9 386
 
0.2%
1 47081
 
26.2%
0 132537
73.6%

COGVIS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2745938979
Minimum0
Maximum9
Zeros143496
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:04.070360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9193380386
Coefficient of variation (CV)3.347991509
Kurtosis69.88438276
Mean0.2745938979
Median Absolute Deviation (MAD)0
Skewness7.74458056
Sum49428
Variance0.8451824293
MonotonicityNot monotonic
2023-09-07T18:30:04.174881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 143496
79.7%
1 34893
 
19.4%
9 1615
 
0.9%
ValueCountFrequency (%)
0 143496
79.7%
1 34893
 
19.4%
9 1615
 
0.9%
ValueCountFrequency (%)
9 1615
 
0.9%
1 34893
 
19.4%
0 143496
79.7%

COGATTN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2943545699
Minimum0
Maximum9
Zeros137555
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:04.279397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8570311145
Coefficient of variation (CV)2.911560418
Kurtosis75.0157112
Mean0.2943545699
Median Absolute Deviation (MAD)0
Skewness7.76532668
Sum52985
Variance0.7345023311
MonotonicityNot monotonic
2023-09-07T18:30:04.387922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 137555
76.4%
1 41132
 
22.9%
9 1317
 
0.7%
ValueCountFrequency (%)
0 137555
76.4%
1 41132
 
22.9%
9 1317
 
0.7%
ValueCountFrequency (%)
9 1317
 
0.7%
1 41132
 
22.9%
0 137555
76.4%

COGFLUC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.24408902
Minimum-4
Maximum9
Zeros110137
Zeros (%)61.2%
Negative61552
Negative (%)34.2%
Memory size1.4 MiB
2023-09-07T18:30:04.491450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.178238619
Coefficient of variation (CV)-1.750870383
Kurtosis2.722131871
Mean-1.24408902
Median Absolute Deviation (MAD)0
Skewness0.4691745143
Sum-223941
Variance4.744723481
MonotonicityNot monotonic
2023-09-07T18:30:04.604985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 110137
61.2%
-4 61552
34.2%
1 6571
 
3.7%
9 1744
 
1.0%
ValueCountFrequency (%)
-4 61552
34.2%
0 110137
61.2%
1 6571
 
3.7%
9 1744
 
1.0%
ValueCountFrequency (%)
9 1744
 
1.0%
1 6571
 
3.7%
0 110137
61.2%
-4 61552
34.2%

COGFLAGO
Real number (ℝ)

Distinct74
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.7509889
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative112391
Negative (%)62.4%
Memory size1.4 MiB
2023-09-07T18:30:04.743515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation428.3204543
Coefficient of variation (CV)1.335367526
Kurtosis-1.675387586
Mean320.7509889
Median Absolute Deviation (MAD)0
Skewness0.5685699945
Sum57736461
Variance183458.4116
MonotonicityNot monotonic
2023-09-07T18:30:04.888550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 112391
62.4%
888 65347
36.3%
75 100
 
0.1%
72 99
 
0.1%
70 90
 
< 0.1%
68 85
 
< 0.1%
61 78
 
< 0.1%
64 77
 
< 0.1%
78 77
 
< 0.1%
65 77
 
< 0.1%
Other values (64) 1583
 
0.9%
ValueCountFrequency (%)
-4 112391
62.4%
15 2
 
< 0.1%
22 1
 
< 0.1%
30 1
 
< 0.1%
31 7
 
< 0.1%
ValueCountFrequency (%)
888 65347
36.3%
104 1
 
< 0.1%
100 1
 
< 0.1%
99 2
 
< 0.1%
98 4
 
< 0.1%

COGOTHR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07033177041
Minimum0
Maximum9
Zeros176728
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:05.007072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7311482448
Coefficient of variation (CV)10.39570369
Kurtosis142.025322
Mean0.07033177041
Median Absolute Deviation (MAD)0
Skewness11.89483907
Sum12660
Variance0.5345777559
MonotonicityNot monotonic
2023-09-07T18:30:05.111588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 176728
98.2%
1 2103
 
1.2%
9 1173
 
0.7%
ValueCountFrequency (%)
0 176728
98.2%
1 2103
 
1.2%
9 1173
 
0.7%
ValueCountFrequency (%)
9 1173
 
0.7%
1 2103
 
1.2%
0 176728
98.2%

NACCCOGF
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.169757339
Minimum0
Maximum99
Zeros88740
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:05.490697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.50130739
Coefficient of variation (CV)5.30073441
Kurtosis66.08305138
Mean2.169757339
Median Absolute Deviation (MAD)1
Skewness8.202659169
Sum390565
Variance132.2800716
MonotonicityNot monotonic
2023-09-07T18:30:05.612215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 88740
49.3%
1 69929
38.8%
3 7380
 
4.1%
4 6590
 
3.7%
99 2475
 
1.4%
6 2288
 
1.3%
5 1646
 
0.9%
8 411
 
0.2%
2 390
 
0.2%
7 155
 
0.1%
ValueCountFrequency (%)
0 88740
49.3%
1 69929
38.8%
2 390
 
0.2%
3 7380
 
4.1%
4 6590
 
3.7%
ValueCountFrequency (%)
99 2475
1.4%
8 411
 
0.2%
7 155
 
0.1%
6 2288
1.3%
5 1646
0.9%

COGMODE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.354914335
Minimum0
Maximum99
Zeros88800
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:05.726730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.010874404
Coefficient of variation (CV)6.650512265
Kurtosis112.9832511
Mean1.354914335
Median Absolute Deviation (MAD)1
Skewness10.70128665
Sum243890
Variance81.19585753
MonotonicityNot monotonic
2023-09-07T18:30:05.838252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 88800
49.3%
1 87238
48.5%
99 1514
 
0.8%
2 1029
 
0.6%
3 984
 
0.5%
4 439
 
0.2%
ValueCountFrequency (%)
0 88800
49.3%
1 87238
48.5%
2 1029
 
0.6%
3 984
 
0.5%
4 439
 
0.2%
ValueCountFrequency (%)
99 1514
 
0.8%
4 439
 
0.2%
3 984
 
0.5%
2 1029
 
0.6%
1 87238
48.5%

DECAGE
Real number (ℝ)

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477.8488645
Minimum15
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:05.978281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile55
Q170
median95
Q3888
95-th percentile888
Maximum999
Range984
Interquartile range (IQR)818

Descriptive statistics

Standard deviation410.3227318
Coefficient of variation (CV)0.8586872593
Kurtosis-1.996116656
Mean477.8488645
Median Absolute Deviation (MAD)60
Skewness0.007895233641
Sum86014707
Variance168364.7442
MonotonicityNot monotonic
2023-09-07T18:30:06.127796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 88458
49.1%
70 4424
 
2.5%
75 3905
 
2.2%
73 3615
 
2.0%
72 3613
 
2.0%
65 3263
 
1.8%
68 3211
 
1.8%
71 3089
 
1.7%
74 3083
 
1.7%
69 3074
 
1.7%
Other values (84) 60269
33.5%
ValueCountFrequency (%)
15 29
< 0.1%
16 2
 
< 0.1%
17 3
 
< 0.1%
18 2
 
< 0.1%
19 2
 
< 0.1%
ValueCountFrequency (%)
999 1215
 
0.7%
888 88458
49.1%
107 2
 
< 0.1%
105 1
 
< 0.1%
104 1
 
< 0.1%

DECCLBE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.158402036
Minimum-4
Maximum1
Zeros50240
Zeros (%)27.9%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:06.243318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.167974455
Coefficient of variation (CV)-1.004434956
Kurtosis-1.772638618
Mean-2.158402036
Median Absolute Deviation (MAD)0
Skewness0.3709103315
Sum-388521
Variance4.700113236
MonotonicityNot monotonic
2023-09-07T18:30:06.354347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 50240
27.9%
1 26107
 
14.5%
ValueCountFrequency (%)
-4 103657
57.6%
0 50240
27.9%
1 26107
 
14.5%
ValueCountFrequency (%)
1 26107
 
14.5%
0 50240
27.9%
-4 103657
57.6%

BEAPATHY
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2066398524
Minimum0
Maximum9
Zeros146352
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:06.460862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.584070014
Coefficient of variation (CV)2.826511958
Kurtosis124.0847754
Mean0.2066398524
Median Absolute Deviation (MAD)0
Skewness8.824813136
Sum37196
Variance0.3411377813
MonotonicityNot monotonic
2023-09-07T18:30:06.565990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 146352
81.3%
1 33209
 
18.4%
9 443
 
0.2%
ValueCountFrequency (%)
0 146352
81.3%
1 33209
 
18.4%
9 443
 
0.2%
ValueCountFrequency (%)
9 443
 
0.2%
1 33209
 
18.4%
0 146352
81.3%

BEDEP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.211828626
Minimum0
Maximum9
Zeros147490
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:06.668506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6691438611
Coefficient of variation (CV)3.158892514
Kurtosis113.3830864
Mean0.211828626
Median Absolute Deviation (MAD)0
Skewness9.097671724
Sum38130
Variance0.4477535068
MonotonicityNot monotonic
2023-09-07T18:30:06.775027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 147490
81.9%
1 31812
 
17.7%
9 702
 
0.4%
ValueCountFrequency (%)
0 147490
81.9%
1 31812
 
17.7%
9 702
 
0.4%
ValueCountFrequency (%)
9 702
 
0.4%
1 31812
 
17.7%
0 147490
81.9%

BEVHALL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0798315593
Minimum0
Maximum9
Zeros172930
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:06.882544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6620066538
Coefficient of variation (CV)8.292543195
Kurtosis164.1494351
Mean0.0798315593
Median Absolute Deviation (MAD)0
Skewness12.48540294
Sum14370
Variance0.4382528096
MonotonicityNot monotonic
2023-09-07T18:30:06.989059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 172930
96.1%
1 6162
 
3.4%
9 912
 
0.5%
ValueCountFrequency (%)
0 172930
96.1%
1 6162
 
3.4%
9 912
 
0.5%
ValueCountFrequency (%)
9 912
 
0.5%
1 6162
 
3.4%
0 172930
96.1%

BEVWELL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.936695851
Minimum-4
Maximum9
Zeros86252
Zeros (%)47.9%
Negative89769
Negative (%)49.9%
Memory size1.4 MiB
2023-09-07T18:30:07.090579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.147240888
Coefficient of variation (CV)-1.108713527
Kurtosis0.8325412625
Mean-1.936695851
Median Absolute Deviation (MAD)4
Skewness0.5488013021
Sum-348613
Variance4.610643429
MonotonicityNot monotonic
2023-09-07T18:30:07.210118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 89769
49.9%
0 86252
47.9%
1 3173
 
1.8%
9 810
 
0.4%
ValueCountFrequency (%)
-4 89769
49.9%
0 86252
47.9%
1 3173
 
1.8%
9 810
 
0.4%
ValueCountFrequency (%)
9 810
 
0.4%
1 3173
 
1.8%
0 86252
47.9%
-4 89769
49.9%

BEVHAGO
Real number (ℝ)

Distinct66
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.6242972
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative112352
Negative (%)62.4%
Memory size1.4 MiB
2023-09-07T18:30:07.370856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation429.6977218
Coefficient of variation (CV)1.323677018
Kurtosis-1.698905868
Mean324.6242972
Median Absolute Deviation (MAD)0
Skewness0.5479084525
Sum58433672
Variance184640.1321
MonotonicityNot monotonic
2023-09-07T18:30:07.531391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 112352
62.4%
888 66192
36.8%
70 66
 
< 0.1%
74 62
 
< 0.1%
67 61
 
< 0.1%
72 55
 
< 0.1%
79 54
 
< 0.1%
64 54
 
< 0.1%
80 50
 
< 0.1%
75 50
 
< 0.1%
Other values (56) 1008
 
0.6%
ValueCountFrequency (%)
-4 112352
62.4%
15 1
 
< 0.1%
18 1
 
< 0.1%
20 2
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
888 66192
36.8%
103 1
 
< 0.1%
102 1
 
< 0.1%
101 1
 
< 0.1%
100 4
 
< 0.1%

BEAHALL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07356503189
Minimum0
Maximum9
Zeros176410
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:07.650433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7419875718
Coefficient of variation (CV)10.08614491
Kurtosis137.3807633
Mean0.07356503189
Median Absolute Deviation (MAD)0
Skewness11.69072489
Sum13242
Variance0.5505455567
MonotonicityNot monotonic
2023-09-07T18:30:07.765948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 176410
98.0%
1 2388
 
1.3%
9 1206
 
0.7%
ValueCountFrequency (%)
0 176410
98.0%
1 2388
 
1.3%
9 1206
 
0.7%
ValueCountFrequency (%)
9 1206
 
0.7%
1 2388
 
1.3%
0 176410
98.0%

BEDEL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09640896869
Minimum0
Maximum9
Zeros170466
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:07.899004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6913090844
Coefficient of variation (CV)7.170588938
Kurtosis146.4876951
Mean0.09640896869
Median Absolute Deviation (MAD)0
Skewness11.69937713
Sum17354
Variance0.4779082502
MonotonicityNot monotonic
2023-09-07T18:30:08.014521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 170466
94.7%
1 8561
 
4.8%
9 977
 
0.5%
ValueCountFrequency (%)
0 170466
94.7%
1 8561
 
4.8%
9 977
 
0.5%
ValueCountFrequency (%)
9 977
 
0.5%
1 8561
 
4.8%
0 170466
94.7%

BEDISIN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09692006844
Minimum0
Maximum9
Zeros165982
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:08.127039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5086493898
Coefficient of variation (CV)5.248132796
Kurtosis220.9368453
Mean0.09692006844
Median Absolute Deviation (MAD)0
Skewness13.16698648
Sum17446
Variance0.2587242017
MonotonicityNot monotonic
2023-09-07T18:30:08.235565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 165982
92.2%
1 13594
 
7.6%
9 428
 
0.2%
ValueCountFrequency (%)
0 165982
92.2%
1 13594
 
7.6%
9 428
 
0.2%
ValueCountFrequency (%)
9 428
 
0.2%
1 13594
 
7.6%
0 165982
92.2%

BEIRRIT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1750461101
Minimum0
Maximum9
Zeros151871
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:08.341077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5596453863
Coefficient of variation (CV)3.197131236
Kurtosis142.6939134
Mean0.1750461101
Median Absolute Deviation (MAD)0
Skewness9.659825518
Sum31509
Variance0.3132029584
MonotonicityNot monotonic
2023-09-07T18:30:08.447613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 151871
84.4%
1 27711
 
15.4%
9 422
 
0.2%
ValueCountFrequency (%)
0 151871
84.4%
1 27711
 
15.4%
9 422
 
0.2%
ValueCountFrequency (%)
9 422
 
0.2%
1 27711
 
15.4%
0 151871
84.4%

BEAGIT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1023866136
Minimum0
Maximum9
Zeros164438
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:08.552663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4848728894
Coefficient of variation (CV)4.735705892
Kurtosis223.5219877
Mean0.1023866136
Median Absolute Deviation (MAD)0
Skewness12.81722417
Sum18430
Variance0.2351017189
MonotonicityNot monotonic
2023-09-07T18:30:08.661172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 164438
91.4%
1 15208
 
8.4%
9 358
 
0.2%
ValueCountFrequency (%)
0 164438
91.4%
1 15208
 
8.4%
9 358
 
0.2%
ValueCountFrequency (%)
9 358
 
0.2%
1 15208
 
8.4%
0 164438
91.4%

BEPERCH
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08753138819
Minimum0
Maximum9
Zeros169368
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:08.775686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5795393182
Coefficient of variation (CV)6.620931419
Kurtosis196.2143974
Mean0.08753138819
Median Absolute Deviation (MAD)0
Skewness13.14505069
Sum15756
Variance0.3358658214
MonotonicityNot monotonic
2023-09-07T18:30:08.885209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 169368
94.1%
1 9996
 
5.6%
9 640
 
0.4%
ValueCountFrequency (%)
0 169368
94.1%
1 9996
 
5.6%
9 640
 
0.4%
ValueCountFrequency (%)
9 640
 
0.4%
1 9996
 
5.6%
0 169368
94.1%

BEREM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.265705207
Minimum-4
Maximum9
Zeros111822
Zeros (%)62.1%
Negative61558
Negative (%)34.2%
Memory size1.4 MiB
2023-09-07T18:30:08.990728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.13558497
Coefficient of variation (CV)-1.687268851
Kurtosis2.398369928
Mean-1.265705207
Median Absolute Deviation (MAD)0
Skewness0.3540636159
Sum-227832
Variance4.560723162
MonotonicityNot monotonic
2023-09-07T18:30:09.103282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 111822
62.1%
-4 61558
34.2%
1 5152
 
2.9%
9 1472
 
0.8%
ValueCountFrequency (%)
-4 61558
34.2%
0 111822
62.1%
1 5152
 
2.9%
9 1472
 
0.8%
ValueCountFrequency (%)
9 1472
 
0.8%
1 5152
 
2.9%
0 111822
62.1%
-4 61558
34.2%

BEREMAGO
Real number (ℝ)

Distinct82
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.7834604
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative112357
Negative (%)62.4%
Memory size1.4 MiB
2023-09-07T18:30:09.243804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation428.044774
Coefficient of variation (CV)1.338545694
Kurtosis-1.669843346
Mean319.7834604
Median Absolute Deviation (MAD)0
Skewness0.5735109497
Sum57562302
Variance183222.3286
MonotonicityNot monotonic
2023-09-07T18:30:09.386832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 112357
62.4%
888 65153
36.2%
65 126
 
0.1%
60 120
 
0.1%
70 109
 
0.1%
69 96
 
0.1%
73 89
 
< 0.1%
63 86
 
< 0.1%
75 80
 
< 0.1%
68 79
 
< 0.1%
Other values (72) 1709
 
0.9%
ValueCountFrequency (%)
-4 112357
62.4%
15 13
 
< 0.1%
16 1
 
< 0.1%
18 4
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
888 65153
36.2%
99 5
 
< 0.1%
96 1
 
< 0.1%
94 2
 
< 0.1%
93 3
 
< 0.1%

BEANX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.358792027
Minimum-4
Maximum9
Zeros58209
Zeros (%)32.3%
Negative109591
Negative (%)60.9%
Memory size1.4 MiB
2023-09-07T18:30:09.504354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.081402811
Coefficient of variation (CV)-0.8824020037
Kurtosis-0.8130716515
Mean-2.358792027
Median Absolute Deviation (MAD)0
Skewness0.6294927265
Sum-424592
Variance4.332237661
MonotonicityNot monotonic
2023-09-07T18:30:09.620888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 109591
60.9%
0 58209
32.3%
1 12008
 
6.7%
9 196
 
0.1%
ValueCountFrequency (%)
-4 109591
60.9%
0 58209
32.3%
1 12008
 
6.7%
9 196
 
0.1%
ValueCountFrequency (%)
9 196
 
0.1%
1 12008
 
6.7%
0 58209
32.3%
-4 109591
60.9%

BEOTHR
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02880491545
Minimum0
Maximum1
Zeros174819
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:09.730416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1672583263
Coefficient of variation (CV)5.806589732
Kurtosis29.74681587
Mean0.02880491545
Median Absolute Deviation (MAD)0
Skewness5.634401952
Sum5185
Variance0.02797534771
MonotonicityNot monotonic
2023-09-07T18:30:09.844953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 174819
97.1%
1 5185
 
2.9%
ValueCountFrequency (%)
0 174819
97.1%
1 5185
 
2.9%
ValueCountFrequency (%)
1 5185
 
2.9%
0 174819
97.1%

NACCBEHF
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.033799249
Minimum0
Maximum99
Zeros115335
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:09.961010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.820024876
Coefficient of variation (CV)4.336723441
Kurtosis108.3738078
Mean2.033799249
Median Absolute Deviation (MAD)0
Skewness10.14970308
Sum366092
Variance77.79283882
MonotonicityNot monotonic
2023-09-07T18:30:10.080541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 115335
64.1%
2 19623
 
10.9%
1 14999
 
8.3%
5 10137
 
5.6%
9 4406
 
2.4%
4 2744
 
1.5%
3 2695
 
1.5%
6 2268
 
1.3%
8 2258
 
1.3%
7 2241
 
1.2%
Other values (2) 3298
 
1.8%
ValueCountFrequency (%)
0 115335
64.1%
1 14999
 
8.3%
2 19623
 
10.9%
3 2695
 
1.5%
4 2744
 
1.5%
ValueCountFrequency (%)
99 1372
 
0.8%
10 1926
1.1%
9 4406
2.4%
8 2258
1.3%
7 2241
1.2%

BEMODE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.676373858
Minimum0
Maximum99
Zeros114467
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:10.192062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.19689128
Coefficient of variation (CV)6.679232811
Kurtosis71.3639624
Mean1.676373858
Median Absolute Deviation (MAD)0
Skewness8.553050925
Sum301754
Variance125.3703743
MonotonicityNot monotonic
2023-09-07T18:30:10.308588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 114467
63.6%
1 59431
33.0%
99 2345
 
1.3%
2 2038
 
1.1%
4 923
 
0.5%
3 800
 
0.4%
ValueCountFrequency (%)
0 114467
63.6%
1 59431
33.0%
2 2038
 
1.1%
3 800
 
0.4%
4 923
 
0.5%
ValueCountFrequency (%)
99 2345
 
1.3%
4 923
 
0.5%
3 800
 
0.4%
2 2038
 
1.1%
1 59431
33.0%

BEAGE
Real number (ℝ)

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.8837248
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative109591
Negative (%)60.9%
Memory size1.4 MiB
2023-09-07T18:30:10.443112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q390
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)94

Descriptive statistics

Standard deviation379.2010283
Coefficient of variation (CV)1.678744357
Kurtosis-0.6246917573
Mean225.8837248
Median Absolute Deviation (MAD)0
Skewness1.163978363
Sum40659974
Variance143793.4199
MonotonicityNot monotonic
2023-09-07T18:30:10.591140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 109591
60.9%
888 44314
24.6%
70 1140
 
0.6%
75 997
 
0.6%
60 986
 
0.5%
72 905
 
0.5%
65 884
 
0.5%
68 827
 
0.5%
73 816
 
0.5%
69 790
 
0.4%
Other values (84) 18754
 
10.4%
ValueCountFrequency (%)
-4 109591
60.9%
12 27
 
< 0.1%
13 6
 
< 0.1%
14 1
 
< 0.1%
15 139
 
0.1%
ValueCountFrequency (%)
888 44314
24.6%
103 1
 
< 0.1%
102 4
 
< 0.1%
101 10
 
< 0.1%
100 13
 
< 0.1%

DECCLMOT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.229028244
Minimum-4
Maximum1
Zeros62953
Zeros (%)35.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:10.706666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.078368915
Coefficient of variation (CV)-0.9324103098
Kurtosis-1.800181095
Mean-2.229028244
Median Absolute Deviation (MAD)0
Skewness0.3542111302
Sum-401234
Variance4.319617349
MonotonicityNot monotonic
2023-09-07T18:30:10.814181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 62953
35.0%
1 13394
 
7.4%
ValueCountFrequency (%)
-4 103657
57.6%
0 62953
35.0%
1 13394
 
7.4%
ValueCountFrequency (%)
1 13394
 
7.4%
0 62953
35.0%
-4 103657
57.6%

MOGAIT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1750905535
Minimum0
Maximum9
Zeros156383
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:10.926698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.734321506
Coefficient of variation (CV)4.193952735
Kurtosis111.5824395
Mean0.1750905535
Median Absolute Deviation (MAD)0
Skewness9.683790796
Sum31517
Variance0.5392280741
MonotonicityNot monotonic
2023-09-07T18:30:11.032216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 156383
86.9%
1 22634
 
12.6%
9 987
 
0.5%
ValueCountFrequency (%)
0 156383
86.9%
1 22634
 
12.6%
9 987
 
0.5%
ValueCountFrequency (%)
9 987
 
0.5%
1 22634
 
12.6%
0 156383
86.9%

MOFALLS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.112136397
Minimum0
Maximum9
Zeros167235
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:11.138743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6858251954
Coefficient of variation (CV)6.115991007
Kurtosis142.4468169
Mean0.112136397
Median Absolute Deviation (MAD)0
Skewness11.34741608
Sum20185
Variance0.4703561987
MonotonicityNot monotonic
2023-09-07T18:30:11.243261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 167235
92.9%
1 11842
 
6.6%
9 927
 
0.5%
ValueCountFrequency (%)
0 167235
92.9%
1 11842
 
6.6%
9 927
 
0.5%
ValueCountFrequency (%)
9 927
 
0.5%
1 11842
 
6.6%
0 167235
92.9%

MOTREM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1271416191
Minimum0
Maximum9
Zeros164510
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:11.345823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6932323452
Coefficient of variation (CV)5.452442326
Kurtosis134.9715688
Mean0.1271416191
Median Absolute Deviation (MAD)0
Skewness10.91938258
Sum22886
Variance0.4805710844
MonotonicityNot monotonic
2023-09-07T18:30:11.450338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 164510
91.4%
1 14570
 
8.1%
9 924
 
0.5%
ValueCountFrequency (%)
0 164510
91.4%
1 14570
 
8.1%
9 924
 
0.5%
ValueCountFrequency (%)
9 924
 
0.5%
1 14570
 
8.1%
0 164510
91.4%

MOSLOW
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1761905291
Minimum0
Maximum9
Zeros155289
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:11.557960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7036635557
Coefficient of variation (CV)3.993764928
Kurtosis117.4528745
Mean0.1761905291
Median Absolute Deviation (MAD)0
Skewness9.784298646
Sum31715
Variance0.4951423997
MonotonicityNot monotonic
2023-09-07T18:30:11.666546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 155289
86.3%
1 23840
 
13.2%
9 875
 
0.5%
ValueCountFrequency (%)
0 155289
86.3%
1 23840
 
13.2%
9 875
 
0.5%
ValueCountFrequency (%)
9 875
 
0.5%
1 23840
 
13.2%
0 155289
86.3%

NACCMOTF
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.272199507
Minimum0
Maximum99
Zeros143611
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:11.777039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.745013377
Coefficient of variation (CV)6.873932376
Kurtosis118.7433394
Mean1.272199507
Median Absolute Deviation (MAD)0
Skewness10.89356656
Sum229001
Variance76.47525897
MonotonicityNot monotonic
2023-09-07T18:30:11.888557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 143611
79.8%
4 11901
 
6.6%
1 11651
 
6.5%
3 7779
 
4.3%
2 3657
 
2.0%
99 1405
 
0.8%
ValueCountFrequency (%)
0 143611
79.8%
1 11651
 
6.5%
2 3657
 
2.0%
3 7779
 
4.3%
4 11901
 
6.6%
ValueCountFrequency (%)
99 1405
 
0.8%
4 11901
6.6%
3 7779
4.3%
2 3657
 
2.0%
1 11651
6.5%

MOMODE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.190190218
Minimum0
Maximum99
Zeros143664
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:12.262649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.775720247
Coefficient of variation (CV)8.213578048
Kurtosis95.88102072
Mean1.190190218
Median Absolute Deviation (MAD)0
Skewness9.881196959
Sum214239
Variance95.56470635
MonotonicityNot monotonic
2023-09-07T18:30:12.375178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 143664
79.8%
1 32377
 
18.0%
99 1776
 
1.0%
2 972
 
0.5%
3 766
 
0.4%
4 449
 
0.2%
ValueCountFrequency (%)
0 143664
79.8%
1 32377
 
18.0%
2 972
 
0.5%
3 766
 
0.4%
4 449
 
0.2%
ValueCountFrequency (%)
99 1776
 
1.0%
4 449
 
0.2%
3 766
 
0.4%
2 972
 
0.5%
1 32377
18.0%

MOMOPARK
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.591697962
Minimum-4
Maximum9
Zeros20376
Zeros (%)11.3%
Negative124515
Negative (%)69.2%
Memory size1.4 MiB
2023-09-07T18:30:12.483739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.19558407
Coefficient of variation (CV)-2.635917222
Kurtosis0.9715964878
Mean-1.591697962
Median Absolute Deviation (MAD)0
Skewness1.577445075
Sum-286512
Variance17.60292569
MonotonicityNot monotonic
2023-09-07T18:30:12.599254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 124515
69.2%
8 23869
 
13.3%
0 20376
 
11.3%
1 10075
 
5.6%
9 1169
 
0.6%
ValueCountFrequency (%)
-4 124515
69.2%
0 20376
 
11.3%
1 10075
 
5.6%
8 23869
 
13.3%
9 1169
 
0.6%
ValueCountFrequency (%)
9 1169
 
0.6%
8 23869
 
13.3%
1 10075
 
5.6%
0 20376
 
11.3%
-4 124515
69.2%

PARKAGE
Real number (ℝ)

Distinct77
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.5603542
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative112152
Negative (%)62.3%
Memory size1.4 MiB
2023-09-07T18:30:12.736796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation424.3240084
Coefficient of variation (CV)1.366317376
Kurtosis-1.607100252
Mean310.5603542
Median Absolute Deviation (MAD)0
Skewness0.6245174324
Sum55902106
Variance180050.8641
MonotonicityNot monotonic
2023-09-07T18:30:12.877848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 112152
62.3%
888 63085
35.0%
70 234
 
0.1%
75 196
 
0.1%
69 184
 
0.1%
65 182
 
0.1%
76 180
 
0.1%
67 178
 
0.1%
73 173
 
0.1%
66 171
 
0.1%
Other values (67) 3269
 
1.8%
ValueCountFrequency (%)
-4 112152
62.3%
15 2
 
< 0.1%
17 4
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
888 63085
35.0%
103 1
 
< 0.1%
101 1
 
< 0.1%
100 2
 
< 0.1%
99 1
 
< 0.1%

MOMOALS
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03700473323
Minimum-4
Maximum9
Zeros12565
Zeros (%)7.0%
Negative111028
Negative (%)61.7%
Memory size1.4 MiB
2023-09-07T18:30:12.988373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.470663542
Coefficient of variation (CV)147.8368594
Kurtosis-1.404511991
Mean0.03700473323
Median Absolute Deviation (MAD)0
Skewness0.7205783907
Sum6661
Variance29.92815959
MonotonicityNot monotonic
2023-09-07T18:30:13.097897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 111028
61.7%
8 55582
30.9%
0 12565
 
7.0%
9 661
 
0.4%
1 168
 
0.1%
ValueCountFrequency (%)
-4 111028
61.7%
0 12565
 
7.0%
1 168
 
0.1%
8 55582
30.9%
9 661
 
0.4%
ValueCountFrequency (%)
9 661
 
0.4%
8 55582
30.9%
1 168
 
0.1%
0 12565
 
7.0%
-4 111028
61.7%

ALSAGE
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.3828637
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative112571
Negative (%)62.5%
Memory size1.4 MiB
2023-09-07T18:30:13.227416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation431.4916718
Coefficient of variation (CV)1.310000365
Kurtosis-1.727290762
Mean329.3828637
Median Absolute Deviation (MAD)0
Skewness0.5221597217
Sum59290233
Variance186185.0628
MonotonicityNot monotonic
2023-09-07T18:30:13.363451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
-4 112571
62.5%
888 67264
37.4%
64 14
 
< 0.1%
66 10
 
< 0.1%
54 9
 
< 0.1%
62 8
 
< 0.1%
67 7
 
< 0.1%
58 7
 
< 0.1%
69 7
 
< 0.1%
72 7
 
< 0.1%
Other values (34) 100
 
0.1%
ValueCountFrequency (%)
-4 112571
62.5%
19 4
 
< 0.1%
25 3
 
< 0.1%
31 3
 
< 0.1%
35 1
 
< 0.1%
ValueCountFrequency (%)
888 67264
37.4%
94 1
 
< 0.1%
81 2
 
< 0.1%
80 1
 
< 0.1%
79 4
 
< 0.1%

MOAGE
Real number (ℝ)

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.0670707
Minimum-4
Maximum888
Zeros0
Zeros (%)0.0%
Negative111028
Negative (%)61.7%
Memory size1.4 MiB
2023-09-07T18:30:13.506963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3888
95-th percentile888
Maximum888
Range892
Interquartile range (IQR)892

Descriptive statistics

Standard deviation408.8293597
Coefficient of variation (CV)1.475560985
Kurtosis-1.317441919
Mean277.0670707
Median Absolute Deviation (MAD)0
Skewness0.8204992904
Sum49873181
Variance167141.4454
MonotonicityNot monotonic
2023-09-07T18:30:13.658004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 111028
61.7%
888 55586
30.9%
70 619
 
0.3%
80 565
 
0.3%
75 551
 
0.3%
72 502
 
0.3%
76 460
 
0.3%
68 451
 
0.3%
65 451
 
0.3%
73 447
 
0.2%
Other values (85) 9344
 
5.2%
ValueCountFrequency (%)
-4 111028
61.7%
9 3
 
< 0.1%
10 2
 
< 0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
888 55586
30.9%
105 2
 
< 0.1%
104 4
 
< 0.1%
103 3
 
< 0.1%
102 4
 
< 0.1%

COURSE
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.468967356
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:13.770515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.444162586
Coefficient of variation (CV)0.770684212
Kurtosis-1.956115533
Mean4.468967356
Median Absolute Deviation (MAD)2
Skewness0.04453777275
Sum804432
Variance11.86225592
MonotonicityNot monotonic
2023-09-07T18:30:13.886031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 85139
47.3%
8 83375
46.3%
3 5770
 
3.2%
9 2595
 
1.4%
4 1594
 
0.9%
2 801
 
0.4%
5 730
 
0.4%
ValueCountFrequency (%)
1 85139
47.3%
2 801
 
0.4%
3 5770
 
3.2%
4 1594
 
0.9%
5 730
 
0.4%
ValueCountFrequency (%)
9 2595
 
1.4%
8 83375
46.3%
5 730
 
0.4%
4 1594
 
0.9%
3 5770
 
3.2%

FRSTCHG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.423318371
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:13.996552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.419780271
Coefficient of variation (CV)0.77312551
Kurtosis-1.95908729
Mean4.423318371
Median Absolute Deviation (MAD)2
Skewness0.07990890736
Sum796215
Variance11.6948971
MonotonicityNot monotonic
2023-09-07T18:30:14.110114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 83865
46.6%
1 80444
44.7%
2 9254
 
5.1%
3 5271
 
2.9%
9 1170
 
0.6%
ValueCountFrequency (%)
1 80444
44.7%
2 9254
 
5.1%
3 5271
 
2.9%
8 83865
46.6%
9 1170
 
0.6%
ValueCountFrequency (%)
9 1170
 
0.6%
8 83865
46.6%
3 5271
 
2.9%
2 9254
 
5.1%
1 80444
44.7%

LBDEVAL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.285315882
Minimum-4
Maximum1
Zeros73085
Zeros (%)40.6%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:14.225609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.002305226
Coefficient of variation (CV)-0.8761612528
Kurtosis-1.869989833
Mean-2.285315882
Median Absolute Deviation (MAD)0
Skewness0.3220727547
Sum-411366
Variance4.009226218
MonotonicityNot monotonic
2023-09-07T18:30:14.337125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 73085
40.6%
1 3262
 
1.8%
ValueCountFrequency (%)
-4 103657
57.6%
0 73085
40.6%
1 3262
 
1.8%
ValueCountFrequency (%)
1 3262
 
1.8%
0 73085
40.6%
-4 103657
57.6%

FTLDEVAL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.283838137
Minimum-4
Maximum1
Zeros72819
Zeros (%)40.5%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:14.441647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.004359262
Coefficient of variation (CV)-0.8776275473
Kurtosis-1.867402322
Mean-2.283838137
Median Absolute Deviation (MAD)0
Skewness0.3231888643
Sum-411100
Variance4.017456053
MonotonicityNot monotonic
2023-09-07T18:30:14.551166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 72819
40.5%
1 3528
 
2.0%
ValueCountFrequency (%)
-4 103657
57.6%
0 72819
40.5%
1 3528
 
2.0%
ValueCountFrequency (%)
1 3528
 
2.0%
0 72819
40.5%
-4 103657
57.6%

MMSECOMP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.85523655
Minimum-4
Maximum1
Zeros47
Zeros (%)< 0.1%
Negative174783
Negative (%)97.1%
Memory size1.4 MiB
2023-09-07T18:30:14.658211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8377471395
Coefficient of variation (CV)-0.2173010991
Kurtosis29.54821978
Mean-3.85523655
Median Absolute Deviation (MAD)0
Skewness5.616000234
Sum-693958
Variance0.7018202698
MonotonicityNot monotonic
2023-09-07T18:30:14.770709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 174783
97.1%
1 5174
 
2.9%
0 47
 
< 0.1%
ValueCountFrequency (%)
-4 174783
97.1%
0 47
 
< 0.1%
1 5174
 
2.9%
ValueCountFrequency (%)
1 5174
 
2.9%
0 47
 
< 0.1%
-4 174783
97.1%

MMSELOC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.074981667
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative77413
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:14.873224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median1
Q31
95-th percentile2
Maximum3
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.558649093
Coefficient of variation (CV)-2.380179282
Kurtosis-1.860329675
Mean-1.074981667
Median Absolute Deviation (MAD)0
Skewness-0.2340327068
Sum-193501
Variance6.54668518
MonotonicityNot monotonic
2023-09-07T18:30:14.980744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 91308
50.7%
-4 77413
43.0%
2 9006
 
5.0%
3 2277
 
1.3%
ValueCountFrequency (%)
-4 77413
43.0%
1 91308
50.7%
2 9006
 
5.0%
3 2277
 
1.3%
ValueCountFrequency (%)
3 2277
 
1.3%
2 9006
 
5.0%
1 91308
50.7%
-4 77413
43.0%

MMSELAN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.121230639
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative77414
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:15.088261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median1
Q31
95-th percentile1
Maximum3
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.507368745
Coefficient of variation (CV)-2.236264919
Kurtosis-1.897254719
Mean-1.121230639
Median Absolute Deviation (MAD)0
Skewness-0.2639056976
Sum-201826
Variance6.286898024
MonotonicityNot monotonic
2023-09-07T18:30:15.204781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 97860
54.4%
-4 77414
43.0%
2 4220
 
2.3%
3 510
 
0.3%
ValueCountFrequency (%)
-4 77414
43.0%
1 97860
54.4%
2 4220
 
2.3%
3 510
 
0.3%
ValueCountFrequency (%)
3 510
 
0.3%
2 4220
 
2.3%
1 97860
54.4%
-4 77414
43.0%

MMSEVIS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.884691451
Minimum-4
Maximum1
Zeros5114
Zeros (%)2.8%
Negative174830
Negative (%)97.1%
Memory size1.4 MiB
2023-09-07T18:30:15.320297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6705275988
Coefficient of variation (CV)-0.1726076851
Kurtosis29.94732331
Mean-3.884691451
Median Absolute Deviation (MAD)0
Skewness5.648584701
Sum-699260
Variance0.4496072608
MonotonicityNot monotonic
2023-09-07T18:30:15.431814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 174830
97.1%
0 5114
 
2.8%
1 60
 
< 0.1%
ValueCountFrequency (%)
-4 174830
97.1%
0 5114
 
2.8%
1 60
 
< 0.1%
ValueCountFrequency (%)
1 60
 
< 0.1%
0 5114
 
2.8%
-4 174830
97.1%

MMSEHEAR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.884974778
Minimum-4
Maximum1
Zeros5165
Zeros (%)2.9%
Negative174830
Negative (%)97.1%
Memory size1.4 MiB
2023-09-07T18:30:15.542344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6686722392
Coefficient of variation (CV)-0.1721175239
Kurtosis29.83997984
Mean-3.884974778
Median Absolute Deviation (MAD)0
Skewness5.642110661
Sum-699311
Variance0.4471225634
MonotonicityNot monotonic
2023-09-07T18:30:15.661397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 174830
97.1%
0 5165
 
2.9%
1 9
 
< 0.1%
ValueCountFrequency (%)
-4 174830
97.1%
0 5165
 
2.9%
1 9
 
< 0.1%
ValueCountFrequency (%)
1 9
 
< 0.1%
0 5165
 
2.9%
-4 174830
97.1%

MMSEORDA
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.209073132
Minimum-4
Maximum98
Zeros6419
Zeros (%)3.6%
Negative77413
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:15.775753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median2
Q35
95-th percentile5
Maximum98
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.21309241
Coefficient of variation (CV)5.981283381
Kurtosis42.30888813
Mean2.209073132
Median Absolute Deviation (MAD)3
Skewness6.295098444
Sum397642
Variance174.585811
MonotonicityNot monotonic
2023-09-07T18:30:15.896266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4 77413
43.0%
5 62790
34.9%
4 14814
 
8.2%
0 6419
 
3.6%
3 6024
 
3.3%
1 4797
 
2.7%
2 4622
 
2.6%
97 1814
 
1.0%
96 1145
 
0.6%
98 109
 
0.1%
ValueCountFrequency (%)
-4 77413
43.0%
0 6419
 
3.6%
1 4797
 
2.7%
2 4622
 
2.6%
3 6024
 
3.3%
ValueCountFrequency (%)
98 109
 
0.1%
97 1814
 
1.0%
96 1145
 
0.6%
95 57
 
< 0.1%
5 62790
34.9%

MMSEORLO
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.351486634
Minimum-4
Maximum98
Zeros2917
Zeros (%)1.6%
Negative77413
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:16.012441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median3
Q35
95-th percentile5
Maximum98
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.22369384
Coefficient of variation (CV)5.623546251
Kurtosis41.95228907
Mean2.351486634
Median Absolute Deviation (MAD)2
Skewness6.256199934
Sum423277
Variance174.8660789
MonotonicityNot monotonic
2023-09-07T18:30:16.129961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4 77413
43.0%
5 67562
37.5%
4 14987
 
8.3%
3 7361
 
4.1%
2 4090
 
2.3%
0 2917
 
1.6%
1 2545
 
1.4%
97 1816
 
1.0%
96 1146
 
0.6%
98 110
 
0.1%
ValueCountFrequency (%)
-4 77413
43.0%
0 2917
 
1.6%
1 2545
 
1.4%
2 4090
 
2.3%
3 7361
 
4.1%
ValueCountFrequency (%)
98 110
 
0.1%
97 1816
 
1.0%
96 1146
 
0.6%
95 57
 
< 0.1%
5 67562
37.5%

PENTAGON
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4904946557
Minimum-4
Maximum98
Zeros18106
Zeros (%)10.1%
Negative100930
Negative (%)56.1%
Memory size1.4 MiB
2023-09-07T18:30:16.246484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.11953751
Coefficient of variation (CV)-24.70880644
Kurtosis57.71022864
Mean-0.4904946557
Median Absolute Deviation (MAD)0
Skewness7.572562814
Sum-88291
Variance146.8831894
MonotonicityNot monotonic
2023-09-07T18:30:16.363510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 100930
56.1%
1 58303
32.4%
0 18106
 
10.1%
97 1405
 
0.8%
96 910
 
0.5%
95 273
 
0.2%
98 77
 
< 0.1%
ValueCountFrequency (%)
-4 100930
56.1%
0 18106
 
10.1%
1 58303
32.4%
95 273
 
0.2%
96 910
 
0.5%
ValueCountFrequency (%)
98 77
 
< 0.1%
97 1405
 
0.8%
96 910
 
0.5%
95 273
 
0.2%
1 58303
32.4%

NACCMMSE
Real number (ℝ)

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.24048354
Minimum-4
Maximum98
Zeros727
Zeros (%)0.4%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:16.495029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median19
Q329
95-th percentile30
Maximum98
Range102
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.18707486
Coefficient of variation (CV)1.34736119
Kurtosis4.220632752
Mean14.24048354
Median Absolute Deviation (MAD)11
Skewness1.376034906
Sum2563344
Variance368.1438418
MonotonicityNot monotonic
2023-09-07T18:30:16.631548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
-4 77366
43.0%
30 24905
 
13.8%
29 17827
 
9.9%
28 11542
 
6.4%
27 7971
 
4.4%
26 5577
 
3.1%
25 4313
 
2.4%
24 3458
 
1.9%
23 3052
 
1.7%
22 2575
 
1.4%
Other values (27) 21418
 
11.9%
ValueCountFrequency (%)
-4 77366
43.0%
0 727
 
0.4%
1 210
 
0.1%
2 211
 
0.1%
3 268
 
0.1%
ValueCountFrequency (%)
98 129
 
0.1%
97 1887
1.0%
96 1218
0.7%
95 292
 
0.2%
88 87
 
< 0.1%

NPSYCLOC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.461956401
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative22836
Negative (%)12.7%
Memory size1.4 MiB
2023-09-07T18:30:16.764589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median1
Q31
95-th percentile2
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.739200651
Coefficient of variation (CV)3.764858865
Kurtosis2.639174163
Mean0.461956401
Median Absolute Deviation (MAD)0
Skewness-2.011956269
Sum83154
Variance3.024818905
MonotonicityNot monotonic
2023-09-07T18:30:16.881107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 144016
80.0%
-4 22836
 
12.7%
2 8974
 
5.0%
3 4178
 
2.3%
ValueCountFrequency (%)
-4 22836
 
12.7%
1 144016
80.0%
2 8974
 
5.0%
3 4178
 
2.3%
ValueCountFrequency (%)
3 4178
 
2.3%
2 8974
 
5.0%
1 144016
80.0%
-4 22836
 
12.7%

NPSYLAN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6136252528
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative15440
Negative (%)8.6%
Memory size1.4 MiB
2023-09-07T18:30:16.992620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median1
Q31
95-th percentile1
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.431267653
Coefficient of variation (CV)2.332478409
Kurtosis6.335763485
Mean0.6136252528
Median Absolute Deviation (MAD)0
Skewness-2.80176639
Sum110455
Variance2.048527095
MonotonicityNot monotonic
2023-09-07T18:30:17.117136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 157894
87.7%
-4 15440
 
8.6%
2 5689
 
3.2%
3 981
 
0.5%
ValueCountFrequency (%)
-4 15440
 
8.6%
1 157894
87.7%
2 5689
 
3.2%
3 981
 
0.5%
ValueCountFrequency (%)
3 981
 
0.5%
2 5689
 
3.2%
1 157894
87.7%
-4 15440
 
8.6%

LOGIMO
Real number (ℝ)

SKEWED 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.800548877
Minimum-4
Maximum88
Zeros0
Zeros (%)0.0%
Negative179464
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:30:17.235653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum88
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.185582893
Coefficient of variation (CV)-1.101310108
Kurtosis474.0000437
Mean-3.800548877
Median Absolute Deviation (MAD)0
Skewness21.76378291
Sum-684114
Variance17.51910416
MonotonicityNot monotonic
2023-09-07T18:30:17.348718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-4 179464
99.7%
88 371
 
0.2%
5 22
 
< 0.1%
3 21
 
< 0.1%
11 20
 
< 0.1%
8 15
 
< 0.1%
1 13
 
< 0.1%
7 12
 
< 0.1%
10 12
 
< 0.1%
9 12
 
< 0.1%
Other values (4) 42
 
< 0.1%
ValueCountFrequency (%)
-4 179464
99.7%
1 13
 
< 0.1%
2 10
 
< 0.1%
3 21
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
88 371
0.2%
12 11
 
< 0.1%
11 20
 
< 0.1%
10 12
 
< 0.1%
9 12
 
< 0.1%

LOGIDAY
Real number (ℝ)

SKEWED 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.793165707
Minimum-4
Maximum88
Zeros0
Zeros (%)0.0%
Negative179464
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:30:17.487264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum88
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.217819989
Coefficient of variation (CV)-1.111952473
Kurtosis460.2191749
Mean-3.793165707
Median Absolute Deviation (MAD)0
Skewness21.37430637
Sum-682785
Variance17.79000546
MonotonicityNot monotonic
2023-09-07T18:30:17.619777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
-4 179464
99.7%
88 371
 
0.2%
15 11
 
< 0.1%
8 10
 
< 0.1%
3 9
 
< 0.1%
7 9
 
< 0.1%
1 8
 
< 0.1%
6 8
 
< 0.1%
19 8
 
< 0.1%
29 8
 
< 0.1%
Other values (23) 98
 
0.1%
ValueCountFrequency (%)
-4 179464
99.7%
1 8
 
< 0.1%
2 5
 
< 0.1%
3 9
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
88 371
0.2%
31 3
 
< 0.1%
30 5
 
< 0.1%
29 8
 
< 0.1%
28 3
 
< 0.1%

LOGIYR
Real number (ℝ)

SKEWED 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.29323237
Minimum-4
Maximum8888
Zeros0
Zeros (%)0.0%
Negative179464
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:30:17.748255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum8888
Range8892
Interquartile range (IQR)0

Descriptive statistics

Standard deviation408.888915
Coefficient of variation (CV)25.09562901
Kurtosis456.7750458
Mean16.29323237
Median Absolute Deviation (MAD)0
Skewness21.2732753
Sum2932847
Variance167190.1448
MonotonicityNot monotonic
2023-09-07T18:30:17.871298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-4 179464
99.7%
8888 373
 
0.2%
2006 61
 
< 0.1%
2013 21
 
< 0.1%
2007 20
 
< 0.1%
2012 11
 
< 0.1%
2009 10
 
< 0.1%
2008 10
 
< 0.1%
2014 10
 
< 0.1%
2010 8
 
< 0.1%
Other values (5) 16
 
< 0.1%
ValueCountFrequency (%)
-4 179464
99.7%
2005 5
 
< 0.1%
2006 61
 
< 0.1%
2007 20
 
< 0.1%
2008 10
 
< 0.1%
ValueCountFrequency (%)
8888 373
0.2%
2018 2
 
< 0.1%
2016 2
 
< 0.1%
2015 2
 
< 0.1%
2014 10
 
< 0.1%

LOGIPREV
Real number (ℝ)

SKEWED 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.957767605
Minimum-4
Maximum25
Zeros66
Zeros (%)< 0.1%
Negative179464
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:30:17.993846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum25
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8569608645
Coefficient of variation (CV)-0.2165263224
Kurtosis574.8862753
Mean-3.957767605
Median Absolute Deviation (MAD)0
Skewness23.02265472
Sum-712414
Variance0.7343819233
MonotonicityNot monotonic
2023-09-07T18:30:18.138345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-4 179464
99.7%
8 83
 
< 0.1%
0 66
 
< 0.1%
17 27
 
< 0.1%
10 24
 
< 0.1%
14 24
 
< 0.1%
15 23
 
< 0.1%
18 23
 
< 0.1%
1 22
 
< 0.1%
13 21
 
< 0.1%
Other values (17) 227
 
0.1%
ValueCountFrequency (%)
-4 179464
99.7%
0 66
 
< 0.1%
1 22
 
< 0.1%
2 13
 
< 0.1%
3 16
 
< 0.1%
ValueCountFrequency (%)
25 15
< 0.1%
24 5
 
< 0.1%
23 6
 
< 0.1%
22 6
 
< 0.1%
21 12
< 0.1%

LOGIMEM
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.19034577
Minimum-4
Maximum98
Zeros5668
Zeros (%)3.1%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:18.298395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median3
Q313
95-th percentile22
Maximum98
Range102
Interquartile range (IQR)17

Descriptive statistics

Standard deviation20.92637005
Coefficient of variation (CV)2.55500447
Kurtosis11.40589617
Mean8.19034577
Median Absolute Deviation (MAD)7
Skewness3.326362172
Sum1474295
Variance437.9129636
MonotonicityNot monotonic
2023-09-07T18:30:18.447916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-4 77366
43.0%
15 5751
 
3.2%
14 5740
 
3.2%
13 5734
 
3.2%
0 5668
 
3.1%
12 5585
 
3.1%
16 5312
 
3.0%
11 5213
 
2.9%
10 5051
 
2.8%
17 4811
 
2.7%
Other values (21) 53773
29.9%
ValueCountFrequency (%)
-4 77366
43.0%
0 5668
 
3.1%
1 2843
 
1.6%
2 3398
 
1.9%
3 3410
 
1.9%
ValueCountFrequency (%)
98 322
 
0.2%
97 3951
2.2%
96 3653
2.0%
95 199
 
0.1%
25 72
 
< 0.1%

MEMUNITS
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.595047888
Minimum-4
Maximum98
Zeros14530
Zeros (%)8.1%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:18.879501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q312
95-th percentile22
Maximum98
Range102
Interquartile range (IQR)16

Descriptive statistics

Standard deviation21.26720897
Coefficient of variation (CV)2.800141525
Kurtosis11.43407279
Mean7.595047888
Median Absolute Deviation (MAD)4
Skewness3.380005264
Sum1367139
Variance452.2941775
MonotonicityNot monotonic
2023-09-07T18:30:19.018017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-4 77366
43.0%
0 14530
 
8.1%
13 5158
 
2.9%
12 5156
 
2.9%
11 4998
 
2.8%
14 4976
 
2.8%
15 4910
 
2.7%
10 4809
 
2.7%
16 4417
 
2.5%
9 4264
 
2.4%
Other values (21) 49420
27.5%
ValueCountFrequency (%)
-4 77366
43.0%
0 14530
 
8.1%
1 4260
 
2.4%
2 3158
 
1.8%
3 3052
 
1.7%
ValueCountFrequency (%)
98 430
 
0.2%
97 4013
2.2%
96 3808
2.1%
95 206
 
0.1%
25 53
 
< 0.1%

MEMTIME
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.026188307
Minimum-4
Maximum99
Zeros145
Zeros (%)0.1%
Negative85823
Negative (%)47.7%
Memory size1.4 MiB
2023-09-07T18:30:19.165056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median12
Q320
95-th percentile30
Maximum99
Range103
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.87994592
Coefficient of variation (CV)1.648530411
Kurtosis8.449209863
Mean9.026188307
Median Absolute Deviation (MAD)16
Skewness1.831022705
Sum1624750
Variance221.4127906
MonotonicityNot monotonic
2023-09-07T18:30:19.315571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 85823
47.7%
20 18629
 
10.3%
15 11530
 
6.4%
30 7365
 
4.1%
17 6999
 
3.9%
16 6702
 
3.7%
18 6336
 
3.5%
19 4561
 
2.5%
14 4481
 
2.5%
21 3143
 
1.7%
Other values (71) 24435
 
13.6%
ValueCountFrequency (%)
-4 85823
47.7%
0 145
 
0.1%
1 16
 
< 0.1%
2 23
 
< 0.1%
3 9
 
< 0.1%
ValueCountFrequency (%)
99 1425
0.8%
85 10
 
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
80 2
 
< 0.1%

UDSBENTC
Real number (ℝ)

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.075920535
Minimum-4
Maximum98
Zeros312
Zeros (%)0.2%
Negative120253
Negative (%)66.8%
Memory size1.4 MiB
2023-09-07T18:30:19.448639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q314
95-th percentile17
Maximum98
Range102
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.52121055
Coefficient of variation (CV)4.053369148
Kurtosis19.11884117
Mean4.075920535
Median Absolute Deviation (MAD)0
Skewness3.948593956
Sum733682
Variance272.9503979
MonotonicityNot monotonic
2023-09-07T18:30:19.575664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-4 120253
66.8%
16 16010
 
8.9%
15 13187
 
7.3%
17 10811
 
6.0%
14 7110
 
3.9%
13 3329
 
1.8%
97 2286
 
1.3%
12 1694
 
0.9%
96 1296
 
0.7%
11 873
 
0.5%
Other values (13) 3155
 
1.8%
ValueCountFrequency (%)
-4 120253
66.8%
0 312
 
0.2%
1 209
 
0.1%
2 226
 
0.1%
3 186
 
0.1%
ValueCountFrequency (%)
98 182
 
0.1%
97 2286
 
1.3%
96 1296
 
0.7%
95 264
 
0.1%
17 10811
6.0%

UDSBENTD
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.611036421
Minimum-4
Maximum98
Zeros5361
Zeros (%)3.0%
Negative120253
Negative (%)66.8%
Memory size1.4 MiB
2023-09-07T18:30:19.712178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile15
Maximum98
Range102
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.57896377
Coefficient of variation (CV)6.349572006
Kurtosis23.45324754
Mean2.611036421
Median Absolute Deviation (MAD)0
Skewness4.658859586
Sum469997
Variance274.8620396
MonotonicityNot monotonic
2023-09-07T18:30:19.842702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-4 120253
66.8%
12 5621
 
3.1%
0 5361
 
3.0%
11 5344
 
3.0%
13 5040
 
2.8%
10 4931
 
2.7%
14 4366
 
2.4%
9 4023
 
2.2%
8 3634
 
2.0%
15 3116
 
1.7%
Other values (13) 18315
 
10.2%
ValueCountFrequency (%)
-4 120253
66.8%
0 5361
 
3.0%
1 807
 
0.4%
2 1228
 
0.7%
3 1230
 
0.7%
ValueCountFrequency (%)
98 248
 
0.1%
97 2513
1.4%
96 1575
0.9%
95 265
 
0.1%
17 882
 
0.5%

UDSBENRS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.52461612
Minimum-4
Maximum9
Zeros10228
Zeros (%)5.7%
Negative124853
Negative (%)69.4%
Memory size1.4 MiB
2023-09-07T18:30:19.958749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.230778385
Coefficient of variation (CV)-0.8836109253
Kurtosis-1.195242568
Mean-2.52461612
Median Absolute Deviation (MAD)0
Skewness0.8705372174
Sum-454441
Variance4.976372205
MonotonicityNot monotonic
2023-09-07T18:30:20.079821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 124853
69.4%
1 44917
 
25.0%
0 10228
 
5.7%
9 6
 
< 0.1%
ValueCountFrequency (%)
-4 124853
69.4%
0 10228
 
5.7%
1 44917
 
25.0%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
1 44917
 
25.0%
0 10228
 
5.7%
-4 124853
69.4%

DIGIF
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.329092687
Minimum-4
Maximum98
Zeros756
Zeros (%)0.4%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:20.203347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median5
Q38
95-th percentile12
Maximum98
Range102
Interquartile range (IQR)12

Descriptive statistics

Standard deviation19.5520241
Coefficient of variation (CV)3.089230174
Kurtosis15.54895423
Mean6.329092687
Median Absolute Deviation (MAD)6
Skewness3.950289293
Sum1139262
Variance382.2816465
MonotonicityNot monotonic
2023-09-07T18:30:20.324861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-4 77366
43.0%
8 17583
 
9.8%
7 14814
 
8.2%
9 12601
 
7.0%
6 11993
 
6.7%
10 10679
 
5.9%
11 7565
 
4.2%
5 6885
 
3.8%
12 4975
 
2.8%
4 4587
 
2.5%
Other values (8) 10956
 
6.1%
ValueCountFrequency (%)
-4 77366
43.0%
0 756
 
0.4%
1 395
 
0.2%
2 924
 
0.5%
3 1530
 
0.8%
ValueCountFrequency (%)
98 289
 
0.2%
97 3586
2.0%
96 3302
1.8%
95 174
 
0.1%
12 4975
2.8%

DIGIFLEN
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.561948623
Minimum-4
Maximum98
Zeros769
Zeros (%)0.4%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:20.444364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median5
Q37
95-th percentile8
Maximum98
Range102
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.47961981
Coefficient of variation (CV)3.502301285
Kurtosis16.51419444
Mean5.561948623
Median Absolute Deviation (MAD)3
Skewness4.12142255
Sum1001173
Variance379.455588
MonotonicityNot monotonic
2023-09-07T18:30:20.563293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-4 77366
43.0%
6 30375
 
16.9%
7 22406
 
12.4%
8 19914
 
11.1%
5 14844
 
8.2%
4 5690
 
3.2%
97 3599
 
2.0%
96 3304
 
1.8%
3 1204
 
0.7%
0 769
 
0.4%
Other values (4) 533
 
0.3%
ValueCountFrequency (%)
-4 77366
43.0%
0 769
 
0.4%
1 10
 
< 0.1%
2 56
 
< 0.1%
3 1204
 
0.7%
ValueCountFrequency (%)
98 289
 
0.2%
97 3599
 
2.0%
96 3304
 
1.8%
95 178
 
0.1%
8 19914
11.1%

DIGIB
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.461717517
Minimum-4
Maximum98
Zeros2145
Zeros (%)1.2%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:20.684809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median3
Q36
95-th percentile11
Maximum98
Range102
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.88080865
Coefficient of variation (CV)3.640028725
Kurtosis15.79460414
Mean5.461717517
Median Absolute Deviation (MAD)7
Skewness4.051119425
Sum983131
Variance395.2465525
MonotonicityNot monotonic
2023-09-07T18:30:20.807081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-4 77366
43.0%
6 17181
 
9.5%
5 14523
 
8.1%
4 13377
 
7.4%
7 11563
 
6.4%
8 8916
 
5.0%
3 7516
 
4.2%
9 5643
 
3.1%
2 4979
 
2.8%
10 4112
 
2.3%
Other values (8) 14828
 
8.2%
ValueCountFrequency (%)
-4 77366
43.0%
0 2145
 
1.2%
1 1004
 
0.6%
2 4979
 
2.8%
3 7516
 
4.2%
ValueCountFrequency (%)
98 361
 
0.2%
97 3619
2.0%
96 3509
1.9%
95 179
 
0.1%
12 1289
 
0.7%

DIGIBLEN
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.685734761
Minimum-4
Maximum98
Zeros2144
Zeros (%)1.2%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:20.920595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median3
Q35
95-th percentile7
Maximum98
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation19.8368407
Coefficient of variation (CV)4.233453602
Kurtosis16.63108709
Mean4.685734761
Median Absolute Deviation (MAD)4
Skewness4.199043885
Sum843451
Variance393.500249
MonotonicityNot monotonic
2023-09-07T18:30:21.040111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4 77366
43.0%
4 29994
 
16.7%
5 21010
 
11.7%
3 16365
 
9.1%
6 11288
 
6.3%
7 8325
 
4.6%
2 5802
 
3.2%
97 3622
 
2.0%
96 3512
 
2.0%
0 2144
 
1.2%
Other values (3) 576
 
0.3%
ValueCountFrequency (%)
-4 77366
43.0%
0 2144
 
1.2%
1 33
 
< 0.1%
2 5802
 
3.2%
3 16365
 
9.1%
ValueCountFrequency (%)
98 361
 
0.2%
97 3622
2.0%
96 3512
2.0%
95 182
 
0.1%
7 8325
4.6%

ANIMALS
Real number (ℝ)

Distinct62
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.46886736
Minimum-4
Maximum98
Zeros1208
Zeros (%)0.7%
Negative15440
Negative (%)8.6%
Memory size1.4 MiB
2023-09-07T18:30:21.179146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q111
median17
Q322
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)11

Descriptive statistics

Standard deviation20.4492089
Coefficient of variation (CV)1.050354318
Kurtosis8.160842357
Mean19.46886736
Median Absolute Deviation (MAD)6
Skewness2.741908466
Sum3504474
Variance418.1701446
MonotonicityNot monotonic
2023-09-07T18:30:21.338665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 15440
 
8.6%
17 9014
 
5.0%
19 8710
 
4.8%
16 8675
 
4.8%
18 8665
 
4.8%
15 8461
 
4.7%
20 8155
 
4.5%
14 7831
 
4.4%
21 7458
 
4.1%
13 7278
 
4.0%
Other values (52) 90317
50.2%
ValueCountFrequency (%)
-4 15440
8.6%
0 1208
 
0.7%
1 581
 
0.3%
2 1188
 
0.7%
3 1573
 
0.9%
ValueCountFrequency (%)
98 529
 
0.3%
97 4610
2.6%
96 4434
2.5%
95 197
 
0.1%
77 1
 
< 0.1%

VEG
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.68416257
Minimum-4
Maximum98
Zeros3087
Zeros (%)1.7%
Negative15440
Negative (%)8.6%
Memory size1.4 MiB
2023-09-07T18:30:21.508700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q17
median12
Q316
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation21.91193658
Coefficient of variation (CV)1.397074053
Kurtosis8.68628501
Mean15.68416257
Median Absolute Deviation (MAD)4
Skewness3.04962276
Sum2823212
Variance480.1329645
MonotonicityNot monotonic
2023-09-07T18:30:21.658736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 15440
 
8.6%
12 11449
 
6.4%
13 11109
 
6.2%
11 10904
 
6.1%
14 10707
 
5.9%
10 10572
 
5.9%
15 9744
 
5.4%
9 9488
 
5.3%
16 8645
 
4.8%
8 8587
 
4.8%
Other values (43) 73359
40.8%
ValueCountFrequency (%)
-4 15440
8.6%
0 3087
 
1.7%
1 1873
 
1.0%
2 2583
 
1.4%
3 3335
 
1.9%
ValueCountFrequency (%)
98 617
 
0.3%
97 5749
3.2%
96 4653
2.6%
95 214
 
0.1%
77 1
 
< 0.1%

TRAILA
Real number (ℝ)

Distinct154
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.9525011
Minimum-4
Maximum998
Zeros2
Zeros (%)< 0.1%
Negative22836
Negative (%)12.7%
Memory size1.4 MiB
2023-09-07T18:30:21.813255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q123
median34
Q355
95-th percentile996
Maximum998
Range1002
Interquartile range (IQR)32

Descriptive statistics

Standard deviation268.9809919
Coefficient of variation (CV)2.242395861
Kurtosis6.590909559
Mean119.9525011
Median Absolute Deviation (MAD)14
Skewness2.903993386
Sum21591930
Variance72350.77399
MonotonicityNot monotonic
2023-09-07T18:30:21.972381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 22836
 
12.7%
996 7565
 
4.2%
997 5795
 
3.2%
150 5674
 
3.2%
29 4316
 
2.4%
25 4310
 
2.4%
28 4309
 
2.4%
30 4283
 
2.4%
27 4193
 
2.3%
26 4098
 
2.3%
Other values (144) 112625
62.6%
ValueCountFrequency (%)
-4 22836
12.7%
0 2
 
< 0.1%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
998 631
 
0.4%
997 5795
3.2%
996 7565
4.2%
995 1304
 
0.7%
150 5674
3.2%

TRAILARR
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.340714651
Minimum-4
Maximum98
Zeros104199
Zeros (%)57.9%
Negative44310
Negative (%)24.6%
Memory size1.4 MiB
2023-09-07T18:30:22.174411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.20105168
Coefficient of variation (CV)3.70550457
Kurtosis6.768730462
Mean7.340714651
Median Absolute Deviation (MAD)0
Skewness2.950483774
Sum1321358
Variance739.8972127
MonotonicityNot monotonic
2023-09-07T18:30:22.321940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 104199
57.9%
-4 44310
24.6%
1 12191
 
6.8%
96 7565
 
4.2%
97 5795
 
3.2%
2 2677
 
1.5%
95 1304
 
0.7%
3 742
 
0.4%
98 631
 
0.4%
4 248
 
0.1%
Other values (27) 342
 
0.2%
ValueCountFrequency (%)
-4 44310
24.6%
0 104199
57.9%
1 12191
 
6.8%
2 2677
 
1.5%
3 742
 
0.4%
ValueCountFrequency (%)
98 631
 
0.4%
97 5795
3.2%
96 7565
4.2%
95 1304
 
0.7%
40 16
 
< 0.1%

TRAILALI
Real number (ℝ)

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.12924713
Minimum-4
Maximum98
Zeros197
Zeros (%)0.1%
Negative43590
Negative (%)24.2%
Memory size1.4 MiB
2023-09-07T18:30:22.532982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q110
median24
Q324
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)14

Descriptive statistics

Standard deviation25.2570479
Coefficient of variation (CV)1.09199611
Kurtosis3.338672998
Mean23.12924713
Median Absolute Deviation (MAD)0
Skewness1.769489613
Sum4163357
Variance637.9184684
MonotonicityNot monotonic
2023-09-07T18:30:22.719032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
24 117190
65.1%
-4 43590
 
24.2%
96 7565
 
4.2%
97 5795
 
3.2%
95 1304
 
0.7%
98 631
 
0.4%
21 294
 
0.2%
13 252
 
0.1%
23 247
 
0.1%
10 228
 
0.1%
Other values (20) 2908
 
1.6%
ValueCountFrequency (%)
-4 43590
24.2%
0 197
 
0.1%
1 65
 
< 0.1%
2 136
 
0.1%
3 98
 
0.1%
ValueCountFrequency (%)
98 631
 
0.4%
97 5795
 
3.2%
96 7565
 
4.2%
95 1304
 
0.7%
24 117190
65.1%

TRAILB
Real number (ℝ)

Distinct296
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.6918068
Minimum-4
Maximum998
Zeros0
Zeros (%)0.0%
Negative22836
Negative (%)12.7%
Memory size1.4 MiB
2023-09-07T18:30:22.929088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q157
median94
Q3238
95-th percentile996
Maximum998
Range1002
Interquartile range (IQR)181

Descriptive statistics

Standard deviation329.2528933
Coefficient of variation (CV)1.385209266
Kurtosis1.315739067
Mean237.6918068
Median Absolute Deviation (MAD)51
Skewness1.728772936
Sum42785476
Variance108407.4677
MonotonicityNot monotonic
2023-09-07T18:30:23.137705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 22836
 
12.7%
996 17268
 
9.6%
300 13819
 
7.7%
997 6632
 
3.7%
998 1698
 
0.9%
995 1519
 
0.8%
60 1500
 
0.8%
58 1431
 
0.8%
62 1428
 
0.8%
63 1393
 
0.8%
Other values (286) 110480
61.4%
ValueCountFrequency (%)
-4 22836
12.7%
8 2
 
< 0.1%
9 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
998 1698
 
0.9%
997 6632
 
3.7%
996 17268
9.6%
995 1519
 
0.8%
300 13819
7.7%

TRAILBRR
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.17116842
Minimum-4
Maximum98
Zeros60035
Zeros (%)33.4%
Negative42225
Negative (%)23.5%
Memory size1.4 MiB
2023-09-07T18:30:23.304327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q32
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)2

Descriptive statistics

Standard deviation34.68391912
Coefficient of variation (CV)2.4474989
Kurtosis1.772968956
Mean14.17116842
Median Absolute Deviation (MAD)2
Skewness1.932718942
Sum2550867
Variance1202.974246
MonotonicityNot monotonic
2023-09-07T18:30:23.449846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 60035
33.4%
-4 42225
23.5%
1 25366
14.1%
96 17268
 
9.6%
2 12180
 
6.8%
97 6632
 
3.7%
3 6075
 
3.4%
4 3099
 
1.7%
5 1703
 
0.9%
98 1698
 
0.9%
Other values (29) 3723
 
2.1%
ValueCountFrequency (%)
-4 42225
23.5%
0 60035
33.4%
1 25366
14.1%
2 12180
 
6.8%
3 6075
 
3.4%
ValueCountFrequency (%)
98 1698
 
0.9%
97 6632
 
3.7%
96 17268
9.6%
95 1519
 
0.8%
40 31
 
< 0.1%

TRAILBLI
Real number (ℝ)

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.75408324
Minimum-4
Maximum98
Zeros346
Zeros (%)0.2%
Negative41933
Negative (%)23.3%
Memory size1.4 MiB
2023-09-07T18:30:23.613877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q110
median24
Q324
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)14

Descriptive statistics

Standard deviation31.07254019
Coefficient of variation (CV)1.119566441
Kurtosis0.8335504762
Mean27.75408324
Median Absolute Deviation (MAD)0
Skewness1.359468384
Sum4995846
Variance965.5027541
MonotonicityNot monotonic
2023-09-07T18:30:23.780722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
24 100727
56.0%
-4 41933
23.3%
96 17268
 
9.6%
97 6632
 
3.7%
98 1698
 
0.9%
95 1519
 
0.8%
16 726
 
0.4%
17 687
 
0.4%
18 668
 
0.4%
14 619
 
0.3%
Other values (20) 7527
 
4.2%
ValueCountFrequency (%)
-4 41933
23.3%
0 346
 
0.2%
1 185
 
0.1%
2 295
 
0.2%
3 272
 
0.2%
ValueCountFrequency (%)
98 1698
 
0.9%
97 6632
 
3.7%
96 17268
 
9.6%
95 1519
 
0.8%
24 100727
56.0%

WAIS
Real number (ℝ)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.49740561
Minimum-4
Maximum98
Zeros1200
Zeros (%)0.7%
Negative82587
Negative (%)45.9%
Memory size1.4 MiB
2023-09-07T18:30:23.949896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median15
Q345
95-th percentile96
Maximum98
Range102
Interquartile range (IQR)49

Descriptive statistics

Standard deviation31.25520233
Coefficient of variation (CV)1.330155458
Kurtosis-0.2563788284
Mean23.49740561
Median Absolute Deviation (MAD)19
Skewness0.8582719182
Sum4229627
Variance976.8876729
MonotonicityNot monotonic
2023-09-07T18:30:24.379488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 82587
45.9%
96 6551
 
3.6%
97 4839
 
2.7%
43 3409
 
1.9%
38 2464
 
1.4%
45 2241
 
1.2%
42 2080
 
1.2%
40 2008
 
1.1%
41 1928
 
1.1%
39 1918
 
1.1%
Other values (89) 69979
38.9%
ValueCountFrequency (%)
-4 82587
45.9%
0 1200
 
0.7%
1 231
 
0.1%
2 250
 
0.1%
3 320
 
0.2%
ValueCountFrequency (%)
98 591
 
0.3%
97 4839
2.7%
96 6551
3.6%
95 1195
 
0.7%
93 42
 
< 0.1%

BOSTON
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.45743983
Minimum-4
Maximum98
Zeros679
Zeros (%)0.4%
Negative77366
Negative (%)43.0%
Memory size1.4 MiB
2023-09-07T18:30:24.520006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median17
Q328
95-th percentile30
Maximum98
Range102
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.97003774
Coefficient of variation (CV)1.486018253
Kurtosis4.376936293
Mean15.45743983
Median Absolute Deviation (MAD)13
Skewness1.813855025
Sum2782401
Variance527.6226338
MonotonicityNot monotonic
2023-09-07T18:30:24.657040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-4 77366
43.0%
29 14472
 
8.0%
30 14057
 
7.8%
28 11956
 
6.6%
27 9099
 
5.1%
26 6894
 
3.8%
25 5398
 
3.0%
24 4419
 
2.5%
97 3907
 
2.2%
23 3643
 
2.0%
Other values (26) 28793
 
16.0%
ValueCountFrequency (%)
-4 77366
43.0%
0 679
 
0.4%
1 243
 
0.1%
2 278
 
0.2%
3 327
 
0.2%
ValueCountFrequency (%)
98 448
 
0.2%
97 3907
 
2.2%
96 3524
 
2.0%
95 372
 
0.2%
30 14057
7.8%

UDSVERFC
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.530304882
Minimum-4
Maximum98
Zeros246
Zeros (%)0.1%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:24.808556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q311
95-th percentile21
Maximum98
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.9878839
Coefficient of variation (CV)3.749832373
Kurtosis18.09313384
Mean4.530304882
Median Absolute Deviation (MAD)0
Skewness3.887310234
Sum815473
Variance288.5881996
MonotonicityNot monotonic
2023-09-07T18:30:24.960593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
-4 112857
62.7%
14 4754
 
2.6%
13 4742
 
2.6%
12 4627
 
2.6%
15 4554
 
2.5%
16 4245
 
2.4%
11 4242
 
2.4%
17 3756
 
2.1%
10 3743
 
2.1%
9 3354
 
1.9%
Other values (34) 29130
 
16.2%
ValueCountFrequency (%)
-4 112857
62.7%
0 246
 
0.1%
1 367
 
0.2%
2 516
 
0.3%
3 737
 
0.4%
ValueCountFrequency (%)
98 276
 
0.2%
97 2642
1.5%
96 1358
0.8%
95 73
 
< 0.1%
40 1
 
< 0.1%

UDSVERFN
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09501455523
Minimum-4
Maximum98
Zeros34798
Zeros (%)19.3%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:25.092110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile3
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.38491503
Coefficient of variation (CV)161.9216655
Kurtosis34.60092728
Mean0.09501455523
Median Absolute Deviation (MAD)0
Skewness5.974514775
Sum17103
Variance236.6956104
MonotonicityNot monotonic
2023-09-07T18:30:25.226584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-4 112857
62.7%
0 34798
 
19.3%
1 16436
 
9.1%
2 6840
 
3.8%
3 2728
 
1.5%
97 2642
 
1.5%
96 1358
 
0.8%
4 1141
 
0.6%
5 486
 
0.3%
98 276
 
0.2%
Other values (11) 442
 
0.2%
ValueCountFrequency (%)
-4 112857
62.7%
0 34798
 
19.3%
1 16436
 
9.1%
2 6840
 
3.8%
3 2728
 
1.5%
ValueCountFrequency (%)
98 276
 
0.2%
97 2642
1.5%
96 1358
0.8%
95 73
 
< 0.1%
15 3
 
< 0.1%

UDSVERNF
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03929912669
Minimum-4
Maximum98
Zeros47098
Zeros (%)26.2%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:25.357645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile2
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.37385929
Coefficient of variation (CV)-391.2010416
Kurtosis34.9188657
Mean-0.03929912669
Median Absolute Deviation (MAD)0
Skewness6.013366089
Sum-7074
Variance236.3555496
MonotonicityNot monotonic
2023-09-07T18:30:25.488140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-4 112857
62.7%
0 47098
26.2%
1 11019
 
6.1%
2 2965
 
1.6%
97 2642
 
1.5%
96 1358
 
0.8%
3 1040
 
0.6%
4 351
 
0.2%
98 276
 
0.2%
5 134
 
0.1%
Other values (11) 264
 
0.1%
ValueCountFrequency (%)
-4 112857
62.7%
0 47098
26.2%
1 11019
 
6.1%
2 2965
 
1.6%
3 1040
 
0.6%
ValueCountFrequency (%)
98 276
 
0.2%
97 2642
1.5%
96 1358
0.8%
95 73
 
< 0.1%
15 15
 
< 0.1%

UDSVERLC
Real number (ℝ)

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.450989978
Minimum-4
Maximum98
Zeros306
Zeros (%)0.2%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:25.635316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q311
95-th percentile20
Maximum98
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.40702406
Coefficient of variation (CV)3.910820773
Kurtosis18.06590093
Mean4.450989978
Median Absolute Deviation (MAD)0
Skewness3.96090953
Sum801196
Variance303.0044868
MonotonicityNot monotonic
2023-09-07T18:30:25.793347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
-4 112857
62.7%
13 4864
 
2.7%
12 4841
 
2.7%
14 4829
 
2.7%
11 4689
 
2.6%
15 4475
 
2.5%
10 4259
 
2.4%
16 3995
 
2.2%
9 3725
 
2.1%
17 3457
 
1.9%
Other values (35) 28013
 
15.6%
ValueCountFrequency (%)
-4 112857
62.7%
0 306
 
0.2%
1 436
 
0.2%
2 583
 
0.3%
3 850
 
0.5%
ValueCountFrequency (%)
98 319
 
0.2%
97 2947
1.6%
96 1436
0.8%
95 74
 
< 0.1%
40 1
 
< 0.1%

UDSVERLR
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.319220684
Minimum-4
Maximum98
Zeros34644
Zeros (%)19.2%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:25.925868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile3
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.08900447
Coefficient of variation (CV)50.4008834
Kurtosis31.23105931
Mean0.319220684
Median Absolute Deviation (MAD)0
Skewness5.69910817
Sum57461
Variance258.856065
MonotonicityNot monotonic
2023-09-07T18:30:26.054386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-4 112857
62.7%
0 34644
 
19.2%
1 16319
 
9.1%
2 6921
 
3.8%
97 2947
 
1.6%
3 2708
 
1.5%
96 1436
 
0.8%
4 1032
 
0.6%
5 400
 
0.2%
98 319
 
0.2%
Other values (11) 421
 
0.2%
ValueCountFrequency (%)
-4 112857
62.7%
0 34644
 
19.2%
1 16319
 
9.1%
2 6921
 
3.8%
3 2708
 
1.5%
ValueCountFrequency (%)
98 319
 
0.2%
97 2947
1.6%
96 1436
0.8%
95 74
 
< 0.1%
15 2
 
< 0.1%

UDSVERLN
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1640074665
Minimum-4
Maximum98
Zeros49538
Zeros (%)27.5%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:26.182419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.07889759
Coefficient of variation (CV)98.03759507
Kurtosis31.53816467
Mean0.1640074665
Median Absolute Deviation (MAD)0
Skewness5.738565467
Sum29522
Variance258.5309477
MonotonicityNot monotonic
2023-09-07T18:30:26.309934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4 112857
62.7%
0 49538
27.5%
1 9198
 
5.1%
97 2947
 
1.6%
2 2287
 
1.3%
96 1436
 
0.8%
3 810
 
0.4%
98 319
 
0.2%
4 298
 
0.2%
5 103
 
0.1%
Other values (10) 211
 
0.1%
ValueCountFrequency (%)
-4 112857
62.7%
0 49538
27.5%
1 9198
 
5.1%
2 2287
 
1.3%
3 810
 
0.4%
ValueCountFrequency (%)
98 319
 
0.2%
97 2947
1.6%
96 1436
0.8%
95 74
 
< 0.1%
15 6
 
< 0.1%

UDSVERTN
Real number (ℝ)

Distinct77
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.143235706
Minimum-4
Maximum98
Zeros131
Zeros (%)0.1%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:26.456455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q323
95-th percentile41
Maximum98
Range102
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.14876673
Coefficient of variation (CV)2.313050588
Kurtosis5.48261881
Mean9.143235706
Median Absolute Deviation (MAD)0
Skewness2.116442587
Sum1645819
Variance447.2703341
MonotonicityNot monotonic
2023-09-07T18:30:26.610484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 112857
62.7%
97 2986
 
1.7%
25 2640
 
1.5%
28 2622
 
1.5%
26 2572
 
1.4%
27 2549
 
1.4%
24 2495
 
1.4%
29 2492
 
1.4%
23 2414
 
1.3%
30 2389
 
1.3%
Other values (67) 43988
 
24.4%
ValueCountFrequency (%)
-4 112857
62.7%
0 131
 
0.1%
1 103
 
0.1%
2 153
 
0.1%
3 201
 
0.1%
ValueCountFrequency (%)
98 327
 
0.2%
97 2986
1.7%
96 1448
0.8%
95 77
 
< 0.1%
74 1
 
< 0.1%

UDSVERTE
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6148918913
Minimum-4
Maximum98
Zeros23032
Zeros (%)12.8%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:26.751004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile5
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.22324761
Coefficient of variation (CV)26.38390234
Kurtosis30.13633765
Mean0.6148918913
Median Absolute Deviation (MAD)0
Skewness5.578713998
Sum110683
Variance263.193763
MonotonicityNot monotonic
2023-09-07T18:30:26.889031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-4 112857
62.7%
0 23032
 
12.8%
1 15915
 
8.8%
2 10207
 
5.7%
3 5642
 
3.1%
4 3214
 
1.8%
97 2986
 
1.7%
5 1817
 
1.0%
96 1448
 
0.8%
6 1008
 
0.6%
Other values (21) 1878
 
1.0%
ValueCountFrequency (%)
-4 112857
62.7%
0 23032
 
12.8%
1 15915
 
8.8%
2 10207
 
5.7%
3 5642
 
3.1%
ValueCountFrequency (%)
98 327
 
0.2%
97 2986
1.7%
96 1448
0.8%
95 77
 
< 0.1%
30 2
 
< 0.1%

UDSVERTI
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3249650008
Minimum-4
Maximum98
Zeros39084
Zeros (%)21.7%
Negative112857
Negative (%)62.7%
Memory size1.4 MiB
2023-09-07T18:30:27.027564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile3
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.19166412
Coefficient of variation (CV)49.82587073
Kurtosis30.79889075
Mean0.3249650008
Median Absolute Deviation (MAD)0
Skewness5.66385292
Sum58495
Variance262.169987
MonotonicityNot monotonic
2023-09-07T18:30:27.162722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-4 112857
62.7%
0 39084
 
21.7%
1 13729
 
7.6%
2 5267
 
2.9%
97 2986
 
1.7%
3 2185
 
1.2%
96 1448
 
0.8%
4 998
 
0.6%
5 458
 
0.3%
98 327
 
0.2%
Other values (20) 665
 
0.4%
ValueCountFrequency (%)
-4 112857
62.7%
0 39084
 
21.7%
1 13729
 
7.6%
2 5267
 
2.9%
3 2185
 
1.2%
ValueCountFrequency (%)
98 327
 
0.2%
97 2986
1.7%
96 1448
0.8%
95 77
 
< 0.1%
30 6
 
< 0.1%

COGSTAT
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.788871358
Minimum-4
Maximum4
Zeros28683
Zeros (%)15.9%
Negative15440
Negative (%)8.6%
Memory size1.4 MiB
2023-09-07T18:30:27.279114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q11
median2
Q33
95-th percentile4
Maximum4
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.204976293
Coefficient of variation (CV)1.232607522
Kurtosis1.39967035
Mean1.788871358
Median Absolute Deviation (MAD)1
Skewness-1.37006927
Sum322004
Variance4.861920452
MonotonicityNot monotonic
2023-09-07T18:30:27.403633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 49614
27.6%
4 42115
23.4%
3 35962
20.0%
0 28683
15.9%
-4 15440
 
8.6%
1 8190
 
4.5%
ValueCountFrequency (%)
-4 15440
 
8.6%
0 28683
15.9%
1 8190
 
4.5%
2 49614
27.6%
3 35962
20.0%
ValueCountFrequency (%)
4 42115
23.4%
3 35962
20.0%
2 49614
27.6%
1 8190
 
4.5%
0 28683
15.9%

NACCC1
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.688568032
Minimum-4
Maximum1
Zeros103303
Zeros (%)57.4%
Negative76130
Negative (%)42.3%
Memory size1.4 MiB
2023-09-07T18:30:27.530025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.979619322
Coefficient of variation (CV)-1.172365747
Kurtosis-1.899333169
Mean-1.688568032
Median Absolute Deviation (MAD)0
Skewness-0.3091449694
Sum-303949
Variance3.918892659
MonotonicityNot monotonic
2023-09-07T18:30:27.639543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 103303
57.4%
-4 76130
42.3%
1 571
 
0.3%
ValueCountFrequency (%)
-4 76130
42.3%
0 103303
57.4%
1 571
 
0.3%
ValueCountFrequency (%)
1 571
 
0.3%
0 103303
57.4%
-4 76130
42.3%

MOCACOMP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.295437879
Minimum-4
Maximum1
Zeros2802
Zeros (%)1.6%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:27.747078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.356914118
Coefficient of variation (CV)-1.026781922
Kurtosis-1.551197294
Mean-2.295437879
Median Absolute Deviation (MAD)0
Skewness0.6640733871
Sum-413188
Variance5.555044158
MonotonicityNot monotonic
2023-09-07T18:30:27.858786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 118078
65.6%
1 59124
32.8%
0 2802
 
1.6%
ValueCountFrequency (%)
-4 118078
65.6%
0 2802
 
1.6%
1 59124
32.8%
ValueCountFrequency (%)
1 59124
32.8%
0 2802
 
1.6%
-4 118078
65.6%

MOCAREAS
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.426796071
Minimum-4
Maximum98
Zeros0
Zeros (%)0.0%
Negative177194
Negative (%)98.4%
Memory size1.4 MiB
2023-09-07T18:30:27.971324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.49288957
Coefficient of variation (CV)-5.147894263
Kurtosis59.08210088
Mean-2.426796071
Median Absolute Deviation (MAD)0
Skewness7.815360742
Sum-436833
Variance156.0722899
MonotonicityNot monotonic
2023-09-07T18:30:28.085837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 177194
98.4%
97 2080
 
1.2%
96 629
 
0.3%
98 68
 
< 0.1%
95 33
 
< 0.1%
ValueCountFrequency (%)
-4 177194
98.4%
95 33
 
< 0.1%
96 629
 
0.3%
97 2080
 
1.2%
98 68
 
< 0.1%
ValueCountFrequency (%)
98 68
 
< 0.1%
97 2080
 
1.2%
96 629
 
0.3%
95 33
 
< 0.1%
-4 177194
98.4%

MOCALOC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.527416057
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative127305
Negative (%)70.7%
Memory size1.4 MiB
2023-09-07T18:30:28.195360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum3
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.292303472
Coefficient of variation (CV)-0.9069751162
Kurtosis-1.119355011
Mean-2.527416057
Median Absolute Deviation (MAD)0
Skewness0.9235079676
Sum-454945
Variance5.25465521
MonotonicityNot monotonic
2023-09-07T18:30:28.306875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 127305
70.7%
1 51814
28.8%
3 691
 
0.4%
2 194
 
0.1%
ValueCountFrequency (%)
-4 127305
70.7%
1 51814
28.8%
2 194
 
0.1%
3 691
 
0.4%
ValueCountFrequency (%)
3 691
 
0.4%
2 194
 
0.1%
1 51814
28.8%
-4 127305
70.7%

MOCALAN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.34713673
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative120880
Negative (%)67.2%
Memory size1.4 MiB
2023-09-07T18:30:28.423397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum3
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.366096198
Coefficient of variation (CV)-1.0080777
Kurtosis-1.437059081
Mean-2.34713673
Median Absolute Deviation (MAD)0
Skewness0.7391232018
Sum-422494
Variance5.598411217
MonotonicityNot monotonic
2023-09-07T18:30:28.541906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 120880
67.2%
1 57458
31.9%
2 1430
 
0.8%
3 236
 
0.1%
ValueCountFrequency (%)
-4 120880
67.2%
1 57458
31.9%
2 1430
 
0.8%
3 236
 
0.1%
ValueCountFrequency (%)
3 236
 
0.1%
2 1430
 
0.8%
1 57458
31.9%
-4 120880
67.2%

MOCALANX
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

MOCAVIS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.826926068
Minimum-4
Maximum1
Zeros52337
Zeros (%)29.1%
Negative127305
Negative (%)70.7%
Memory size1.4 MiB
2023-09-07T18:30:28.656935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.823805661
Coefficient of variation (CV)-0.6451550613
Kurtosis-1.161643652
Mean-2.826926068
Median Absolute Deviation (MAD)0
Skewness0.9131672137
Sum-508858
Variance3.326267089
MonotonicityNot monotonic
2023-09-07T18:30:28.776461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 127305
70.7%
0 52337
29.1%
1 362
 
0.2%
ValueCountFrequency (%)
-4 127305
70.7%
0 52337
29.1%
1 362
 
0.2%
ValueCountFrequency (%)
1 362
 
0.2%
0 52337
29.1%
-4 127305
70.7%

MOCAHEAR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.68455701
Minimum-4
Maximum1
Zeros58835
Zeros (%)32.7%
Negative120880
Negative (%)67.2%
Memory size1.4 MiB
2023-09-07T18:30:28.883977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.881337015
Coefficient of variation (CV)-0.7007997997
Kurtosis-1.460742644
Mean-2.68455701
Median Absolute Deviation (MAD)0
Skewness0.7321846737
Sum-483231
Variance3.539428963
MonotonicityNot monotonic
2023-09-07T18:30:29.000492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 120880
67.2%
0 58835
32.7%
1 289
 
0.2%
ValueCountFrequency (%)
-4 120880
67.2%
0 58835
32.7%
1 289
 
0.2%
ValueCountFrequency (%)
1 289
 
0.2%
0 58835
32.7%
-4 120880
67.2%

MOCATOTS
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.145774538
Minimum-4
Maximum88
Zeros79
Zeros (%)< 0.1%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:29.124007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q319
95-th percentile29
Maximum88
Range92
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.10199005
Coefficient of variation (CV)3.129167423
Kurtosis7.642443125
Mean5.145774538
Median Absolute Deviation (MAD)0
Skewness2.311125365
Sum926260
Variance259.2740836
MonotonicityNot monotonic
2023-09-07T18:30:29.261034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
-4 125474
69.7%
27 5607
 
3.1%
28 5337
 
3.0%
26 4978
 
2.8%
29 4525
 
2.5%
25 4375
 
2.4%
24 3839
 
2.1%
23 3209
 
1.8%
30 2829
 
1.6%
22 2653
 
1.5%
Other values (23) 17178
 
9.5%
ValueCountFrequency (%)
-4 125474
69.7%
0 79
 
< 0.1%
1 107
 
0.1%
2 162
 
0.1%
3 182
 
0.1%
ValueCountFrequency (%)
88 2538
1.4%
30 2829
1.6%
29 4525
2.5%
28 5337
3.0%
27 5607
3.1%

MOCATRAI
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.423623919
Minimum-4
Maximum98
Zeros14688
Zeros (%)8.2%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:29.378550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.99084583
Coefficient of variation (CV)-7.720329564
Kurtosis72.53258176
Mean-1.423623919
Median Absolute Deviation (MAD)0
Skewness8.464596992
Sum-256258
Variance120.7986921
MonotonicityNot monotonic
2023-09-07T18:30:29.500114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 125442
69.7%
1 37722
 
21.0%
0 14688
 
8.2%
97 1239
 
0.7%
96 669
 
0.4%
95 177
 
0.1%
98 67
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 14688
 
8.2%
1 37722
 
21.0%
95 177
 
0.1%
96 669
 
0.4%
ValueCountFrequency (%)
98 67
 
< 0.1%
97 1239
 
0.7%
96 669
 
0.4%
95 177
 
0.1%
1 37722
21.0%

MOCACUBE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.489861336
Minimum-4
Maximum98
Zeros23106
Zeros (%)12.8%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:29.614634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.89381998
Coefficient of variation (CV)-7.311969049
Kurtosis74.16687424
Mean-1.489861336
Median Absolute Deviation (MAD)0
Skewness8.564792788
Sum-268181
Variance118.6753137
MonotonicityNot monotonic
2023-09-07T18:30:29.734148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 125442
69.7%
1 29341
 
16.3%
0 23106
 
12.8%
97 1229
 
0.7%
96 659
 
0.4%
95 159
 
0.1%
98 68
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 23106
 
12.8%
1 29341
 
16.3%
95 159
 
0.1%
96 659
 
0.4%
ValueCountFrequency (%)
98 68
 
< 0.1%
97 1229
 
0.7%
96 659
 
0.4%
95 159
 
0.1%
1 29341
16.3%

MOCACLOC
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.371780627
Minimum-4
Maximum98
Zeros2054
Zeros (%)1.1%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:29.854571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.91999897
Coefficient of variation (CV)-7.960455743
Kurtosis73.15147715
Mean-1.371780627
Median Absolute Deviation (MAD)0
Skewness8.481466313
Sum-246926
Variance119.2463775
MonotonicityNot monotonic
2023-09-07T18:30:29.969151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 125442
69.7%
1 50391
28.0%
0 2054
 
1.1%
97 1228
 
0.7%
96 673
 
0.4%
95 147
 
0.1%
98 69
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 2054
 
1.1%
1 50391
28.0%
95 147
 
0.1%
96 673
 
0.4%
ValueCountFrequency (%)
98 69
 
< 0.1%
97 1228
 
0.7%
96 673
 
0.4%
95 147
 
0.1%
1 50391
28.0%

MOCACLON
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.406674296
Minimum-4
Maximum98
Zeros8810
Zeros (%)4.9%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:30.081669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.92556307
Coefficient of variation (CV)-7.766945839
Kurtosis73.28041005
Mean-1.406674296
Median Absolute Deviation (MAD)0
Skewness8.497464792
Sum-253207
Variance119.3679284
MonotonicityNot monotonic
2023-09-07T18:30:30.197182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 125442
69.7%
1 43630
 
24.2%
0 8810
 
4.9%
97 1228
 
0.7%
96 672
 
0.4%
95 151
 
0.1%
98 71
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 8810
 
4.9%
1 43630
 
24.2%
95 151
 
0.1%
96 672
 
0.4%
ValueCountFrequency (%)
98 71
 
< 0.1%
97 1228
 
0.7%
96 672
 
0.4%
95 151
 
0.1%
1 43630
24.2%

MOCACLOH
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.464406347
Minimum-4
Maximum98
Zeros19014
Zeros (%)10.6%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:30.307698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.91078412
Coefficient of variation (CV)-7.450653396
Kurtosis73.80723626
Mean-1.464406347
Median Absolute Deviation (MAD)0
Skewness8.539761677
Sum-263599
Variance119.0452101
MonotonicityNot monotonic
2023-09-07T18:30:30.699790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 125442
69.7%
1 33428
 
18.6%
0 19014
 
10.6%
97 1227
 
0.7%
96 674
 
0.4%
95 148
 
0.1%
98 71
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 19014
 
10.6%
1 33428
 
18.6%
95 148
 
0.1%
96 674
 
0.4%
ValueCountFrequency (%)
98 71
 
< 0.1%
97 1227
 
0.7%
96 674
 
0.4%
95 148
 
0.1%
1 33428
18.6%

MOCANAMI
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9262238617
Minimum-4
Maximum98
Zeros967
Zeros (%)0.5%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:30.811305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q32
95-th percentile3
Maximum98
Range102
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.76718483
Coefficient of variation (CV)-11.62481909
Kurtosis71.64077056
Mean-0.9262238617
Median Absolute Deviation (MAD)0
Skewness8.231913911
Sum-166724
Variance115.9322692
MonotonicityNot monotonic
2023-09-07T18:30:30.928843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 125442
69.7%
3 40954
 
22.8%
2 8954
 
5.0%
1 1694
 
0.9%
97 1219
 
0.7%
0 967
 
0.5%
96 630
 
0.3%
95 85
 
< 0.1%
98 59
 
< 0.1%
ValueCountFrequency (%)
-4 125442
69.7%
0 967
 
0.5%
1 1694
 
0.9%
2 8954
 
5.0%
3 40954
 
22.8%
ValueCountFrequency (%)
98 59
 
< 0.1%
97 1219
 
0.7%
96 630
 
0.3%
95 85
 
< 0.1%
3 40954
22.8%

MOCAREGI
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.838081376
Minimum-4
Maximum98
Zeros563
Zeros (%)0.3%
Negative125442
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:31.052368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile10
Maximum98
Range102
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.75380654
Coefficient of variation (CV)14.02466022
Kurtosis46.42341093
Mean0.838081376
Median Absolute Deviation (MAD)0
Skewness6.10303986
Sum150858
Variance138.1519681
MonotonicityNot monotonic
2023-09-07T18:30:31.175414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-4 125442
69.7%
10 27337
 
15.2%
9 10379
 
5.8%
8 5777
 
3.2%
7 2979
 
1.7%
6 1943
 
1.1%
5 1253
 
0.7%
97 1235
 
0.7%
4 884
 
0.5%
96 658
 
0.4%
Other values (6) 2117
 
1.2%
ValueCountFrequency (%)
-4 125442
69.7%
0 563
 
0.3%
1 346
 
0.2%
2 510
 
0.3%
3 582
 
0.3%
ValueCountFrequency (%)
98 74
 
< 0.1%
97 1235
 
0.7%
96 658
 
0.4%
95 42
 
< 0.1%
10 27337
15.2%

MOCADIGI
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4780949312
Minimum-4
Maximum98
Zeros2140
Zeros (%)1.2%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:31.287019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q32
95-th percentile2
Maximum98
Range102
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.76122993
Coefficient of variation (CV)-26.69183272
Kurtosis51.55615936
Mean-0.4780949312
Median Absolute Deviation (MAD)0
Skewness7.146559238
Sum-86059
Variance162.8489893
MonotonicityNot monotonic
2023-09-07T18:30:31.405559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 118078
65.6%
2 47608
26.4%
1 9266
 
5.1%
0 2140
 
1.2%
97 2105
 
1.2%
96 684
 
0.4%
98 79
 
< 0.1%
95 44
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 2140
 
1.2%
1 9266
 
5.1%
2 47608
26.4%
95 44
 
< 0.1%
ValueCountFrequency (%)
98 79
 
< 0.1%
97 2105
 
1.2%
96 684
 
0.4%
95 44
 
< 0.1%
2 47608
26.4%

MOCALETT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.739033577
Minimum-4
Maximum98
Zeros7323
Zeros (%)4.1%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:31.516826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.83978356
Coefficient of variation (CV)-17.37374858
Kurtosis51.91764147
Mean-0.739033577
Median Absolute Deviation (MAD)0
Skewness7.221352792
Sum-133029
Variance164.8600418
MonotonicityNot monotonic
2023-09-07T18:30:31.632344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 51630
28.7%
0 7323
 
4.1%
97 2120
 
1.2%
96 711
 
0.4%
98 89
 
< 0.1%
95 53
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 7323
 
4.1%
1 51630
28.7%
95 53
 
< 0.1%
96 711
 
0.4%
ValueCountFrequency (%)
98 89
 
< 0.1%
97 2120
 
1.2%
96 711
 
0.4%
95 53
 
< 0.1%
1 51630
28.7%

MOCASER7
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09096464523
Minimum-4
Maximum98
Zeros4217
Zeros (%)2.3%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:31.746871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q32
95-th percentile3
Maximum98
Range102
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.39243619
Coefficient of variation (CV)-147.2268281
Kurtosis45.71975952
Mean-0.09096464523
Median Absolute Deviation (MAD)0
Skewness6.719276362
Sum-16374
Variance179.3573471
MonotonicityNot monotonic
2023-09-07T18:30:31.868912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 118078
65.6%
3 41150
 
22.9%
2 9372
 
5.2%
0 4217
 
2.3%
1 3987
 
2.2%
97 2113
 
1.2%
96 799
 
0.4%
98 244
 
0.1%
95 44
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 4217
 
2.3%
1 3987
 
2.2%
2 9372
 
5.2%
3 41150
 
22.9%
ValueCountFrequency (%)
98 244
 
0.1%
97 2113
 
1.2%
96 799
 
0.4%
95 44
 
< 0.1%
3 41150
22.9%

MOCAREPE
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5563543032
Minimum-4
Maximum98
Zeros7764
Zeros (%)4.3%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:31.979444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile2
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.86590212
Coefficient of variation (CV)-23.12537541
Kurtosis51.01832865
Mean-0.5563543032
Median Absolute Deviation (MAD)0
Skewness7.130144397
Sum-100146
Variance165.5314375
MonotonicityNot monotonic
2023-09-07T18:30:32.101968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 118078
65.6%
2 33532
 
18.6%
1 17659
 
9.8%
0 7764
 
4.3%
97 2105
 
1.2%
96 721
 
0.4%
98 89
 
< 0.1%
95 56
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 7764
 
4.3%
1 17659
 
9.8%
2 33532
 
18.6%
95 56
 
< 0.1%
ValueCountFrequency (%)
98 89
 
< 0.1%
97 2105
 
1.2%
96 721
 
0.4%
95 56
 
< 0.1%
2 33532
18.6%

MOCAFLUE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7697162285
Minimum-4
Maximum98
Zeros16223
Zeros (%)9.0%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:32.214487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.90782675
Coefficient of variation (CV)-16.76959153
Kurtosis51.48927012
Mean-0.7697162285
Median Absolute Deviation (MAD)0
Skewness7.200457133
Sum-138552
Variance166.6119913
MonotonicityNot monotonic
2023-09-07T18:30:32.329021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 42695
 
23.7%
0 16223
 
9.0%
97 2117
 
1.2%
96 735
 
0.4%
98 112
 
0.1%
95 44
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 16223
 
9.0%
1 42695
 
23.7%
95 44
 
< 0.1%
96 735
 
0.4%
ValueCountFrequency (%)
98 112
 
0.1%
97 2117
 
1.2%
96 735
 
0.4%
95 44
 
< 0.1%
1 42695
23.7%

MOCAABST
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5056887625
Minimum-4
Maximum98
Zeros6081
Zeros (%)3.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:32.443521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile2
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.8645967
Coefficient of variation (CV)-25.43975199
Kurtosis50.85915524
Mean-0.5056887625
Median Absolute Deviation (MAD)0
Skewness7.110942303
Sum-91026
Variance165.4978482
MonotonicityNot monotonic
2023-09-07T18:30:32.566549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 118078
65.6%
2 41418
 
23.0%
1 11461
 
6.4%
0 6081
 
3.4%
97 2105
 
1.2%
96 724
 
0.4%
98 95
 
0.1%
95 42
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 6081
 
3.4%
1 11461
 
6.4%
2 41418
 
23.0%
95 42
 
< 0.1%
ValueCountFrequency (%)
98 95
 
0.1%
97 2105
 
1.2%
96 724
 
0.4%
95 42
 
< 0.1%
2 41418
23.0%

MOCARECN
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1516021866
Minimum-4
Maximum98
Zeros15108
Zeros (%)8.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:32.679087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile5
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.128388
Coefficient of variation (CV)-86.59761638
Kurtosis47.31396845
Mean-0.1516021866
Median Absolute Deviation (MAD)0
Skewness6.804989452
Sum-27289
Variance172.3545715
MonotonicityNot monotonic
2023-09-07T18:30:32.809603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4 118078
65.6%
0 15108
 
8.4%
5 11666
 
6.5%
4 10920
 
6.1%
3 9891
 
5.5%
2 6956
 
3.9%
1 4335
 
2.4%
97 2129
 
1.2%
96 755
 
0.4%
98 110
 
0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 15108
 
8.4%
1 4335
 
2.4%
2 6956
 
3.9%
3 9891
 
5.5%
ValueCountFrequency (%)
98 110
 
0.1%
97 2129
 
1.2%
96 755
 
0.4%
95 56
 
< 0.1%
5 11666
6.5%

MOCARECC
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.188312482
Minimum-4
Maximum98
Zeros15160
Zeros (%)8.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:32.925138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile88
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation25.71707514
Coefficient of variation (CV)4.956732122
Kurtosis6.895124946
Mean5.188312482
Median Absolute Deviation (MAD)0
Skewness2.9636854
Sum933917
Variance661.3679537
MonotonicityNot monotonic
2023-09-07T18:30:33.045685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 118078
65.6%
1 19528
 
10.8%
0 15160
 
8.4%
88 12354
 
6.9%
2 8739
 
4.9%
3 2580
 
1.4%
97 2078
 
1.2%
4 656
 
0.4%
96 625
 
0.3%
5 107
 
0.1%
Other values (2) 99
 
0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 15160
 
8.4%
1 19528
 
10.8%
2 8739
 
4.9%
3 2580
 
1.4%
ValueCountFrequency (%)
98 67
 
< 0.1%
97 2078
 
1.2%
96 625
 
0.3%
95 32
 
< 0.1%
88 12354
6.9%

MOCARECR
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.45700096
Minimum-4
Maximum98
Zeros4252
Zeros (%)2.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:33.161713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile88
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation32.21173521
Coefficient of variation (CV)3.080398993
Kurtosis2.123623763
Mean10.45700096
Median Absolute Deviation (MAD)0
Skewness2.019207835
Sum1882302
Variance1037.595886
MonotonicityNot monotonic
2023-09-07T18:30:33.281230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 118078
65.6%
88 23009
 
12.8%
1 15148
 
8.4%
2 9335
 
5.2%
3 5058
 
2.8%
0 4252
 
2.4%
97 2078
 
1.2%
4 1952
 
1.1%
96 625
 
0.3%
5 370
 
0.2%
Other values (2) 99
 
0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 4252
 
2.4%
1 15148
 
8.4%
2 9335
 
5.2%
3 5058
 
2.8%
ValueCountFrequency (%)
98 67
 
< 0.1%
97 2078
 
1.2%
96 625
 
0.3%
95 32
 
< 0.1%
88 23009
12.8%

MOCAORDT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.774788338
Minimum-4
Maximum98
Zeros11018
Zeros (%)6.1%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:33.396739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.77950208
Coefficient of variation (CV)-16.49418486
Kurtosis52.52388891
Mean-0.774788338
Median Absolute Deviation (MAD)0
Skewness7.263528482
Sum-139465
Variance163.3156733
MonotonicityNot monotonic
2023-09-07T18:30:33.513296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 47964
26.6%
0 11018
 
6.1%
97 2106
 
1.2%
96 706
 
0.4%
98 95
 
0.1%
95 37
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 11018
 
6.1%
1 47964
26.6%
95 37
 
< 0.1%
96 706
 
0.4%
ValueCountFrequency (%)
98 95
 
0.1%
97 2106
 
1.2%
96 706
 
0.4%
95 37
 
< 0.1%
1 47964
26.6%

MOCAORMO
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7402391058
Minimum-4
Maximum98
Zeros4703
Zeros (%)2.6%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:33.626817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.78087722
Coefficient of variation (CV)-17.26587682
Kurtosis52.40251148
Mean-0.7402391058
Median Absolute Deviation (MAD)0
Skewness7.250671806
Sum-133246
Variance163.3508225
MonotonicityNot monotonic
2023-09-07T18:30:33.742398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 54280
30.2%
0 4703
 
2.6%
97 2107
 
1.2%
96 705
 
0.4%
98 94
 
0.1%
95 37
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 4703
 
2.6%
1 54280
30.2%
95 37
 
< 0.1%
96 705
 
0.4%
ValueCountFrequency (%)
98 94
 
0.1%
97 2107
 
1.2%
96 705
 
0.4%
95 37
 
< 0.1%
1 54280
30.2%

MOCAORYR
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7439612453
Minimum-4
Maximum98
Zeros5182
Zeros (%)2.9%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:33.859043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.77650882
Coefficient of variation (CV)-17.17362148
Kurtosis52.44948487
Mean-0.7439612453
Median Absolute Deviation (MAD)0
Skewness7.254080551
Sum-133916
Variance163.2391776
MonotonicityNot monotonic
2023-09-07T18:30:33.980565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 53803
29.9%
0 5182
 
2.9%
97 2106
 
1.2%
96 704
 
0.4%
98 94
 
0.1%
95 37
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 5182
 
2.9%
1 53803
29.9%
95 37
 
< 0.1%
96 704
 
0.4%
ValueCountFrequency (%)
98 94
 
0.1%
97 2106
 
1.2%
96 704
 
0.4%
95 37
 
< 0.1%
1 53803
29.9%

MOCAORDY
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7502666607
Minimum-4
Maximum98
Zeros6414
Zeros (%)3.6%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:34.104644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.77795952
Coefficient of variation (CV)-17.03122395
Kurtosis52.45841434
Mean-0.7502666607
Median Absolute Deviation (MAD)0
Skewness7.255636633
Sum-135051
Variance163.2762495
MonotonicityNot monotonic
2023-09-07T18:30:34.224166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 52570
29.2%
0 6414
 
3.6%
97 2108
 
1.2%
96 703
 
0.4%
98 94
 
0.1%
95 37
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 6414
 
3.6%
1 52570
29.2%
95 37
 
< 0.1%
96 703
 
0.4%
ValueCountFrequency (%)
98 94
 
0.1%
97 2108
 
1.2%
96 703
 
0.4%
95 37
 
< 0.1%
1 52570
29.2%

MOCAORPL
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7527054954
Minimum-4
Maximum98
Zeros6757
Zeros (%)3.8%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:34.334683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.77569661
Coefficient of variation (CV)-16.97303485
Kurtosis52.48424233
Mean-0.7527054954
Median Absolute Deviation (MAD)0
Skewness7.257574142
Sum-135490
Variance163.2184238
MonotonicityNot monotonic
2023-09-07T18:30:34.457208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 52228
29.0%
0 6757
 
3.8%
97 2105
 
1.2%
96 704
 
0.4%
98 95
 
0.1%
95 37
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 6757
 
3.8%
1 52228
29.0%
95 37
 
< 0.1%
96 704
 
0.4%
ValueCountFrequency (%)
98 95
 
0.1%
97 2105
 
1.2%
96 704
 
0.4%
95 37
 
< 0.1%
1 52228
29.0%

MOCAORCT
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7304337681
Minimum-4
Maximum98
Zeros2460
Zeros (%)1.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:34.581236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile1
Maximum98
Range102
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.7717865
Coefficient of variation (CV)-17.48520819
Kurtosis52.44443048
Mean-0.7304337681
Median Absolute Deviation (MAD)0
Skewness7.251594541
Sum-131481
Variance163.1185305
MonotonicityNot monotonic
2023-09-07T18:30:34.698753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 118078
65.6%
1 56528
31.4%
0 2460
 
1.4%
97 2105
 
1.2%
96 701
 
0.4%
98 94
 
0.1%
95 38
 
< 0.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 2460
 
1.4%
1 56528
31.4%
95 38
 
< 0.1%
96 701
 
0.4%
ValueCountFrequency (%)
98 94
 
0.1%
97 2105
 
1.2%
96 701
 
0.4%
95 38
 
< 0.1%
1 56528
31.4%

NACCMOCA
Real number (ℝ)

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.29216573
Minimum-4
Maximum99
Zeros58
Zeros (%)< 0.1%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:34.827273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q319
95-th percentile29
Maximum99
Range103
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.49208762
Coefficient of variation (CV)3.11632108
Kurtosis8.016174615
Mean5.29216573
Median Absolute Deviation (MAD)0
Skewness2.379516532
Sum952611
Variance271.9889541
MonotonicityNot monotonic
2023-09-07T18:30:34.970309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-4 125474
69.7%
27 5660
 
3.1%
28 5391
 
3.0%
26 4961
 
2.8%
29 4635
 
2.6%
25 4380
 
2.4%
24 3833
 
2.1%
23 3120
 
1.7%
30 3028
 
1.7%
22 2644
 
1.5%
Other values (24) 16878
 
9.4%
ValueCountFrequency (%)
-4 125474
69.7%
0 58
 
< 0.1%
1 95
 
0.1%
2 150
 
0.1%
3 155
 
0.1%
ValueCountFrequency (%)
99 244
 
0.1%
88 2538
1.4%
30 3028
1.7%
29 4635
2.6%
28 5391
3.0%

CRAFTVRS
Real number (ℝ)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.498344481
Minimum-4
Maximum98
Zeros1003
Zeros (%)0.6%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:35.116827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q314
95-th percentile30
Maximum98
Range102
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.95629683
Coefficient of variation (CV)3.265764247
Kurtosis12.21898089
Mean5.498344481
Median Absolute Deviation (MAD)0
Skewness3.095440307
Sum989724
Variance322.4285957
MonotonicityNot monotonic
2023-09-07T18:30:35.280866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 118078
65.6%
21 2657
 
1.5%
23 2618
 
1.5%
20 2597
 
1.4%
19 2592
 
1.4%
18 2554
 
1.4%
22 2519
 
1.4%
24 2467
 
1.4%
25 2407
 
1.3%
97 2400
 
1.3%
Other values (40) 39115
 
21.7%
ValueCountFrequency (%)
-4 118078
65.6%
0 1003
 
0.6%
1 604
 
0.3%
2 749
 
0.4%
3 797
 
0.4%
ValueCountFrequency (%)
98 220
 
0.1%
97 2400
1.3%
96 1322
0.7%
95 71
 
< 0.1%
44 1
 
< 0.1%

CRAFTURS
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.004655452
Minimum-4
Maximum98
Zeros1024
Zeros (%)0.6%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:35.429381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q311
95-th percentile21
Maximum98
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.58861366
Coefficient of variation (CV)4.142332307
Kurtosis18.88136371
Mean4.004655452
Median Absolute Deviation (MAD)0
Skewness3.942163497
Sum720854
Variance275.1821031
MonotonicityNot monotonic
2023-09-07T18:30:35.586412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-4 118078
65.6%
18 4491
 
2.5%
17 4461
 
2.5%
16 4396
 
2.4%
15 4124
 
2.3%
19 4069
 
2.3%
14 3774
 
2.1%
13 3374
 
1.9%
20 3323
 
1.8%
12 3037
 
1.7%
Other values (21) 26877
 
14.9%
ValueCountFrequency (%)
-4 118078
65.6%
0 1024
 
0.6%
1 683
 
0.4%
2 882
 
0.5%
3 982
 
0.5%
ValueCountFrequency (%)
98 220
 
0.1%
97 2400
1.3%
96 1322
0.7%
95 71
 
< 0.1%
25 151
 
0.1%

DIGFORCT
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.687351392
Minimum-4
Maximum98
Zeros144
Zeros (%)0.1%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:35.715926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q36
95-th percentile11
Maximum98
Range102
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.27287786
Coefficient of variation (CV)8.458746603
Kurtosis33.7527819
Mean1.687351392
Median Absolute Deviation (MAD)0
Skewness5.510074775
Sum303730
Variance203.7150423
MonotonicityNot monotonic
2023-09-07T18:30:35.846471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4 118078
65.6%
8 9343
 
5.2%
6 9092
 
5.1%
7 8562
 
4.8%
9 7515
 
4.2%
10 5722
 
3.2%
5 5229
 
2.9%
11 3444
 
1.9%
4 3421
 
1.9%
12 2363
 
1.3%
Other values (10) 7235
 
4.0%
ValueCountFrequency (%)
-4 118078
65.6%
0 144
 
0.1%
1 140
 
0.1%
2 615
 
0.3%
3 1011
 
0.6%
ValueCountFrequency (%)
98 178
 
0.1%
97 2039
1.1%
96 1097
0.6%
95 51
 
< 0.1%
14 621
 
0.3%

DIGFORSL
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.248172263
Minimum-4
Maximum98
Zeros154
Zeros (%)0.1%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:35.965399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q36
95-th percentile8
Maximum98
Range102
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.05288013
Coefficient of variation (CV)11.25876656
Kurtosis36.81630645
Mean1.248172263
Median Absolute Deviation (MAD)0
Skewness5.843126777
Sum224676
Variance197.48344
MonotonicityNot monotonic
2023-09-07T18:30:36.089915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4 118078
65.6%
7 15133
 
8.4%
6 15055
 
8.4%
5 11689
 
6.5%
8 7695
 
4.3%
9 4152
 
2.3%
4 3921
 
2.2%
97 2039
 
1.1%
96 1097
 
0.6%
3 762
 
0.4%
Other values (3) 383
 
0.2%
ValueCountFrequency (%)
-4 118078
65.6%
0 154
 
0.1%
3 762
 
0.4%
4 3921
 
2.2%
5 11689
 
6.5%
ValueCountFrequency (%)
98 178
 
0.1%
97 2039
1.1%
96 1097
 
0.6%
95 51
 
< 0.1%
9 4152
2.3%

DIGBACCT
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.332642608
Minimum-4
Maximum98
Zeros670
Zeros (%)0.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:36.226426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q35
95-th percentile10
Maximum98
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.36243413
Coefficient of variation (CV)10.77740877
Kurtosis34.94140546
Mean1.332642608
Median Absolute Deviation (MAD)0
Skewness5.700279279
Sum239881
Variance206.279514
MonotonicityNot monotonic
2023-09-07T18:30:36.366467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4 118078
65.6%
6 9413
 
5.2%
7 9342
 
5.2%
8 8374
 
4.7%
4 7351
 
4.1%
5 6723
 
3.7%
9 4880
 
2.7%
3 3162
 
1.8%
10 2861
 
1.6%
2 2350
 
1.3%
Other values (10) 7470
 
4.1%
ValueCountFrequency (%)
-4 118078
65.6%
0 670
 
0.4%
1 434
 
0.2%
2 2350
 
1.3%
3 3162
 
1.8%
ValueCountFrequency (%)
98 232
 
0.1%
97 2042
1.1%
96 1184
0.7%
95 52
 
< 0.1%
14 170
 
0.1%

DIGBACLS
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7682940379
Minimum-4
Maximum98
Zeros681
Zeros (%)0.4%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:36.491980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q34
95-th percentile6
Maximum98
Range102
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.13943937
Coefficient of variation (CV)18.40368228
Kurtosis38.34056309
Mean0.7682940379
Median Absolute Deviation (MAD)0
Skewness6.074918763
Sum138296
Variance199.9237458
MonotonicityNot monotonic
2023-09-07T18:30:36.635028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4 118078
65.6%
5 17895
 
9.9%
4 13259
 
7.4%
6 10005
 
5.6%
3 9032
 
5.0%
7 2865
 
1.6%
2 2655
 
1.5%
97 2042
 
1.1%
8 2024
 
1.1%
96 1184
 
0.7%
Other values (3) 965
 
0.5%
ValueCountFrequency (%)
-4 118078
65.6%
0 681
 
0.4%
2 2655
 
1.5%
3 9032
 
5.0%
4 13259
 
7.4%
ValueCountFrequency (%)
98 232
 
0.1%
97 2042
1.1%
96 1184
0.7%
95 52
 
< 0.1%
8 2024
1.1%

CRAFTDVR
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.699851114
Minimum-4
Maximum98
Zeros5580
Zeros (%)3.1%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:36.773064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q311
95-th percentile28
Maximum98
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.86858505
Coefficient of variation (CV)3.801947043
Kurtosis14.39745984
Mean4.699851114
Median Absolute Deviation (MAD)0
Skewness3.460575487
Sum845992
Variance319.2863317
MonotonicityNot monotonic
2023-09-07T18:30:36.930586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
-4 118078
65.6%
0 5580
 
3.1%
20 2526
 
1.4%
17 2513
 
1.4%
19 2506
 
1.4%
18 2493
 
1.4%
97 2488
 
1.4%
21 2436
 
1.4%
16 2354
 
1.3%
15 2335
 
1.3%
Other values (39) 36695
 
20.4%
ValueCountFrequency (%)
-4 118078
65.6%
0 5580
 
3.1%
1 957
 
0.5%
2 864
 
0.5%
3 784
 
0.4%
ValueCountFrequency (%)
98 265
 
0.1%
97 2488
1.4%
96 1558
0.9%
95 75
 
< 0.1%
44 1
 
< 0.1%

CRAFTDRE
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.684901447
Minimum-4
Maximum98
Zeros5260
Zeros (%)2.9%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:37.360709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q310
95-th percentile20
Maximum98
Range102
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.93483861
Coefficient of variation (CV)4.595737187
Kurtosis19.27355189
Mean3.684901447
Median Absolute Deviation (MAD)0
Skewness4.077734884
Sum663297
Variance286.7887587
MonotonicityNot monotonic
2023-09-07T18:30:37.507249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-4 118078
65.6%
0 5260
 
2.9%
16 4096
 
2.3%
15 4079
 
2.3%
17 4002
 
2.2%
18 3847
 
2.1%
14 3553
 
2.0%
19 3303
 
1.8%
13 3255
 
1.8%
12 3034
 
1.7%
Other values (21) 27497
 
15.3%
ValueCountFrequency (%)
-4 118078
65.6%
0 5260
 
2.9%
1 1090
 
0.6%
2 946
 
0.5%
3 909
 
0.5%
ValueCountFrequency (%)
98 265
 
0.1%
97 2488
1.4%
96 1558
0.9%
95 75
 
< 0.1%
25 85
 
< 0.1%

CRAFTDTI
Real number (ℝ)

Distinct67
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.169035133
Minimum-4
Maximum99
Zeros73
Zeros (%)< 0.1%
Negative122464
Negative (%)68.0%
Memory size1.4 MiB
2023-09-07T18:30:37.657787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q315
95-th percentile21
Maximum99
Range103
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.96012809
Coefficient of variation (CV)3.458506338
Kurtosis3.898004292
Mean3.169035133
Median Absolute Deviation (MAD)0
Skewness1.395565651
Sum570439
Variance120.1244077
MonotonicityNot monotonic
2023-09-07T18:30:37.916423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 122464
68.0%
20 15437
 
8.6%
15 4607
 
2.6%
21 4182
 
2.3%
19 4016
 
2.2%
18 4002
 
2.2%
16 3761
 
2.1%
17 3731
 
2.1%
14 3127
 
1.7%
22 2703
 
1.5%
Other values (57) 11974
 
6.7%
ValueCountFrequency (%)
-4 122464
68.0%
0 73
 
< 0.1%
1 9
 
< 0.1%
2 13
 
< 0.1%
3 6
 
< 0.1%
ValueCountFrequency (%)
99 154
0.1%
85 3
 
< 0.1%
77 1
 
< 0.1%
74 1
 
< 0.1%
72 3
 
< 0.1%

CRAFTCUE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.675768316
Minimum-4
Maximum1
Zeros49333
Zeros (%)27.4%
Negative122464
Negative (%)68.0%
Memory size1.4 MiB
2023-09-07T18:30:38.102973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.941990034
Coefficient of variation (CV)-0.7257691265
Kurtosis-1.279903317
Mean-2.675768316
Median Absolute Deviation (MAD)0
Skewness0.8103781699
Sum-481649
Variance3.77132529
MonotonicityNot monotonic
2023-09-07T18:30:38.221000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 122464
68.0%
0 49333
27.4%
1 8207
 
4.6%
ValueCountFrequency (%)
-4 122464
68.0%
0 49333
27.4%
1 8207
 
4.6%
ValueCountFrequency (%)
1 8207
 
4.6%
0 49333
27.4%
-4 122464
68.0%

MINTTOTS
Real number (ℝ)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.182662607
Minimum-4
Maximum98
Zeros146
Zeros (%)0.1%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:38.398034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q326
95-th percentile32
Maximum98
Range102
Interquartile range (IQR)30

Descriptive statistics

Standard deviation19.48095274
Coefficient of variation (CV)2.712218825
Kurtosis6.292934733
Mean7.182662607
Median Absolute Deviation (MAD)0
Skewness2.183889431
Sum1292908
Variance379.5075196
MonotonicityNot monotonic
2023-09-07T18:30:38.596131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4 125474
69.7%
32 13309
 
7.4%
31 8190
 
4.5%
30 7328
 
4.1%
29 5447
 
3.0%
28 3985
 
2.2%
27 2777
 
1.5%
26 2102
 
1.2%
97 1948
 
1.1%
25 1573
 
0.9%
Other values (28) 7871
 
4.4%
ValueCountFrequency (%)
-4 125474
69.7%
0 146
 
0.1%
1 87
 
< 0.1%
2 70
 
< 0.1%
3 67
 
< 0.1%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
 
1.1%
96 1282
 
0.7%
95 95
 
0.1%
32 13309
7.4%

MINTTOTW
Real number (ℝ)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.877436057
Minimum-4
Maximum98
Zeros1279
Zeros (%)0.7%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:38.813180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q325
95-th percentile32
Maximum98
Range102
Interquartile range (IQR)29

Descriptive statistics

Standard deviation19.29613735
Coefficient of variation (CV)2.805716722
Kurtosis6.759186693
Mean6.877436057
Median Absolute Deviation (MAD)0
Skewness2.266764216
Sum1237966
Variance372.3409165
MonotonicityNot monotonic
2023-09-07T18:30:38.970760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4 125474
69.7%
32 11154
 
6.2%
31 7806
 
4.3%
30 7001
 
3.9%
29 5337
 
3.0%
28 4064
 
2.3%
27 3003
 
1.7%
26 2256
 
1.3%
97 1948
 
1.1%
25 1801
 
1.0%
Other values (28) 10160
 
5.6%
ValueCountFrequency (%)
-4 125474
69.7%
0 1279
 
0.7%
1 136
 
0.1%
2 94
 
0.1%
3 75
 
< 0.1%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
 
1.1%
96 1282
 
0.7%
95 95
 
0.1%
32 11154
6.2%

MINTSCNG
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.373797249
Minimum-4
Maximum98
Zeros23767
Zeros (%)13.2%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:39.128297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile5
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.06924388
Coefficient of variation (CV)-37.63870366
Kurtosis41.38832794
Mean-0.373797249
Median Absolute Deviation (MAD)0
Skewness6.438796974
Sum-67285
Variance197.9436235
MonotonicityNot monotonic
2023-09-07T18:30:39.280551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4 125474
69.7%
0 23767
 
13.2%
1 9647
 
5.4%
2 5533
 
3.1%
3 3477
 
1.9%
4 2325
 
1.3%
97 1948
 
1.1%
5 1547
 
0.9%
96 1282
 
0.7%
6 1190
 
0.7%
Other values (28) 3814
 
2.1%
ValueCountFrequency (%)
-4 125474
69.7%
0 23767
 
13.2%
1 9647
 
5.4%
2 5533
 
3.1%
3 3477
 
1.9%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
1.1%
96 1282
0.7%
95 95
 
0.1%
32 15
 
< 0.1%

MINTSCNC
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.066581854
Minimum-4
Maximum98
Zeros16946
Zeros (%)9.4%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:39.426067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile88
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation31.22794257
Coefficient of variation (CV)3.444290591
Kurtosis2.775123029
Mean9.066581854
Median Absolute Deviation (MAD)0
Skewness2.174382725
Sum1632021
Variance975.184397
MonotonicityNot monotonic
2023-09-07T18:30:39.579633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
-4 125474
69.7%
88 20014
 
11.1%
0 16946
 
9.4%
1 9453
 
5.3%
2 2695
 
1.5%
97 1948
 
1.1%
96 1282
 
0.7%
3 886
 
0.5%
4 327
 
0.2%
98 206
 
0.1%
Other values (29) 773
 
0.4%
ValueCountFrequency (%)
-4 125474
69.7%
0 16946
 
9.4%
1 9453
 
5.3%
2 2695
 
1.5%
3 886
 
0.5%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
 
1.1%
96 1282
 
0.7%
95 95
 
0.1%
88 20014
11.1%

MINTPCNG
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01506633186
Minimum-4
Maximum98
Zeros14178
Zeros (%)7.9%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:39.730701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.18585748
Coefficient of variation (CV)-941.5601362
Kurtosis39.3276376
Mean-0.01506633186
Median Absolute Deviation (MAD)0
Skewness6.21943937
Sum-2712
Variance201.2385524
MonotonicityNot monotonic
2023-09-07T18:30:39.889734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4 125474
69.7%
0 14178
 
7.9%
1 8241
 
4.6%
2 7200
 
4.0%
3 5324
 
3.0%
4 3909
 
2.2%
5 2736
 
1.5%
6 2210
 
1.2%
97 1948
 
1.1%
7 1624
 
0.9%
Other values (28) 7160
 
4.0%
ValueCountFrequency (%)
-4 125474
69.7%
0 14178
 
7.9%
1 8241
 
4.6%
2 7200
 
4.0%
3 5324
 
3.0%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
1.1%
96 1282
0.7%
95 95
 
0.1%
32 12
 
< 0.1%

MINTPCNC
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.368741806
Minimum-4
Maximum98
Zeros15303
Zeros (%)8.5%
Negative125474
Negative (%)69.7%
Memory size1.4 MiB
2023-09-07T18:30:40.033963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile88
Maximum98
Range102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation26.31021444
Coefficient of variation (CV)4.900629494
Kurtosis6.439694592
Mean5.368741806
Median Absolute Deviation (MAD)0
Skewness2.884810833
Sum966395
Variance692.2273838
MonotonicityNot monotonic
2023-09-07T18:30:40.186015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4 125474
69.7%
0 15303
 
8.5%
1 12315
 
6.8%
88 12182
 
6.8%
2 5805
 
3.2%
3 2702
 
1.5%
97 1948
 
1.1%
96 1282
 
0.7%
4 1211
 
0.7%
5 560
 
0.3%
Other values (28) 1222
 
0.7%
ValueCountFrequency (%)
-4 125474
69.7%
0 15303
 
8.5%
1 12315
 
6.8%
2 5805
 
3.2%
3 2702
 
1.5%
ValueCountFrequency (%)
98 206
 
0.1%
97 1948
 
1.1%
96 1282
 
0.7%
95 95
 
0.1%
88 12182
6.8%

NACCC2
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.61989178
Minimum-4
Maximum1
Zeros61205
Zeros (%)34.0%
Negative118078
Negative (%)65.6%
Memory size1.4 MiB
2023-09-07T18:30:40.301529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.906772591
Coefficient of variation (CV)-0.7278058601
Kurtosis-1.556103586
Mean-2.61989178
Median Absolute Deviation (MAD)0
Skewness0.6606647688
Sum-471591
Variance3.635781712
MonotonicityNot monotonic
2023-09-07T18:30:40.414056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 118078
65.6%
0 61205
34.0%
1 721
 
0.4%
ValueCountFrequency (%)
-4 118078
65.6%
0 61205
34.0%
1 721
 
0.4%
ValueCountFrequency (%)
1 721
 
0.4%
0 61205
34.0%
-4 118078
65.6%

MODCOMM
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.778632697
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:40.517587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.074861002
Coefficient of variation (CV)-0.2844576565
Kurtosis20.42758763
Mean-3.778632697
Median Absolute Deviation (MAD)0
Skewness4.704397271
Sum-680169
Variance1.155326173
MonotonicityNot monotonic
2023-09-07T18:30:40.638111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172608
95.9%
1 4702
 
2.6%
2 2521
 
1.4%
3 173
 
0.1%
ValueCountFrequency (%)
-4 172608
95.9%
1 4702
 
2.6%
2 2521
 
1.4%
3 173
 
0.1%
ValueCountFrequency (%)
3 173
 
0.1%
2 2521
 
1.4%
1 4702
 
2.6%
-4 172608
95.9%

MOCBTOTS
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.684140352
Minimum-4
Maximum88
Zeros10
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:40.774167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum88
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.080036999
Coefficient of variation (CV)-3.010288561
Kurtosis91.10080511
Mean-2.684140352
Median Absolute Deviation (MAD)0
Skewness8.875790555
Sum-483156
Variance65.2869979
MonotonicityNot monotonic
2023-09-07T18:30:40.910688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-4 172608
95.9%
88 1047
 
0.6%
21 1041
 
0.6%
20 967
 
0.5%
22 885
 
0.5%
19 843
 
0.5%
18 576
 
0.3%
17 479
 
0.3%
16 376
 
0.2%
15 301
 
0.2%
Other values (15) 881
 
0.5%
ValueCountFrequency (%)
-4 172608
95.9%
0 10
 
< 0.1%
1 9
 
< 0.1%
2 13
 
< 0.1%
3 22
 
< 0.1%
ValueCountFrequency (%)
88 1047
0.6%
22 885
0.5%
21 1041
0.6%
20 967
0.5%
19 843
0.5%

NACCMOCB
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.670373992
Minimum-4
Maximum99
Zeros6
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:41.042207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.161179162
Coefficient of variation (CV)-3.056193322
Kurtosis90.19023627
Mean-2.670373992
Median Absolute Deviation (MAD)0
Skewness8.841157139
Sum-480678
Variance66.60484531
MonotonicityNot monotonic
2023-09-07T18:30:41.177240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-4 172608
95.9%
21 1049
 
0.6%
88 1047
 
0.6%
20 981
 
0.5%
22 951
 
0.5%
19 825
 
0.5%
18 559
 
0.3%
17 477
 
0.3%
16 366
 
0.2%
15 300
 
0.2%
Other values (16) 841
 
0.5%
ValueCountFrequency (%)
-4 172608
95.9%
0 6
 
< 0.1%
1 10
 
< 0.1%
2 13
 
< 0.1%
3 20
 
< 0.1%
ValueCountFrequency (%)
99 21
 
< 0.1%
88 1047
0.6%
22 951
0.5%
21 1049
0.6%
20 981
0.5%

REY1REC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8197984489
Minimum-4
Maximum98
Zeros10
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:41.313742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.6690612
Coefficient of variation (CV)-20.33312117
Kurtosis24.64178301
Mean-0.8197984489
Median Absolute Deviation (MAD)0
Skewness5.1542234
Sum-147567
Variance277.8576013
MonotonicityNot monotonic
2023-09-07T18:30:41.445259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
5 253
 
0.1%
4 212
 
0.1%
6 174
 
0.1%
3 164
 
0.1%
97 144
 
0.1%
7 138
 
0.1%
8 104
 
0.1%
2 80
 
< 0.1%
Other values (12) 309
 
0.2%
ValueCountFrequency (%)
-4 172608
95.9%
0 10
 
< 0.1%
1 25
 
< 0.1%
2 80
 
< 0.1%
3 164
 
0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY1INT
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8576198307
Minimum-4
Maximum98
Zeros888
Zeros (%)0.5%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:41.564918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.65896612
Coefficient of variation (CV)-19.42465125
Kurtosis24.75540667
Mean-0.8576198307
Median Absolute Deviation (MAD)0
Skewness5.16977861
Sum-154375
Variance277.5211521
MonotonicityNot monotonic
2023-09-07T18:30:41.683440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 888
 
0.5%
1 313
 
0.2%
97 144
 
0.1%
2 92
 
0.1%
96 52
 
< 0.1%
3 35
 
< 0.1%
98 35
 
< 0.1%
95 11
 
< 0.1%
Other values (2) 8
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 888
 
0.5%
1 313
 
0.2%
2 92
 
0.1%
3 35
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY2REC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7990933535
Minimum-4
Maximum98
Zeros5
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:41.805954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.67931284
Coefficient of variation (CV)-20.87279636
Kurtosis24.54914966
Mean-0.7990933535
Median Absolute Deviation (MAD)0
Skewness5.142014429
Sum-143840
Variance278.1994767
MonotonicityNot monotonic
2023-09-07T18:30:41.941491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
7 159
 
0.1%
8 149
 
0.1%
6 148
 
0.1%
9 145
 
0.1%
97 144
 
0.1%
10 141
 
0.1%
5 128
 
0.1%
11 111
 
0.1%
Other values (12) 453
 
0.3%
ValueCountFrequency (%)
-4 172608
95.9%
0 5
 
< 0.1%
1 3
 
< 0.1%
2 13
 
< 0.1%
3 27
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY2INT
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8581920402
Minimum-4
Maximum98
Zeros944
Zeros (%)0.5%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:42.061518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.65889246
Coefficient of variation (CV)-19.41161381
Kurtosis24.75660717
Mean-0.8581920402
Median Absolute Deviation (MAD)0
Skewness5.169947982
Sum-154478
Variance277.5186981
MonotonicityNot monotonic
2023-09-07T18:30:42.184041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 944
 
0.5%
1 280
 
0.2%
97 144
 
0.1%
2 91
 
0.1%
96 52
 
< 0.1%
98 35
 
< 0.1%
3 13
 
< 0.1%
95 11
 
< 0.1%
Other values (2) 8
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 944
 
0.5%
1 280
 
0.2%
2 91
 
0.1%
3 13
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY3REC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7885769205
Minimum-4
Maximum98
Zeros6
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:42.309555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.68588885
Coefficient of variation (CV)-21.1594943
Kurtosis24.49351837
Mean-0.7885769205
Median Absolute Deviation (MAD)0
Skewness5.134827744
Sum-141947
Variance278.4188868
MonotonicityNot monotonic
2023-09-07T18:30:42.445085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
12 152
 
0.1%
97 144
 
0.1%
11 137
 
0.1%
13 134
 
0.1%
10 129
 
0.1%
8 125
 
0.1%
9 121
 
0.1%
14 112
 
0.1%
Other values (12) 524
 
0.3%
ValueCountFrequency (%)
-4 172608
95.9%
0 6
 
< 0.1%
1 2
 
< 0.1%
2 11
 
< 0.1%
3 23
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY3INT
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8583642586
Minimum-4
Maximum98
Zeros984
Zeros (%)0.5%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:42.574121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.65889409
Coefficient of variation (CV)-19.40772106
Kurtosis24.75681068
Mean-0.8583642586
Median Absolute Deviation (MAD)0
Skewness5.169978468
Sum-154509
Variance277.5187524
MonotonicityNot monotonic
2023-09-07T18:30:42.694636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 984
 
0.5%
1 250
 
0.1%
97 144
 
0.1%
2 69
 
< 0.1%
96 52
 
< 0.1%
98 35
 
< 0.1%
3 23
 
< 0.1%
95 11
 
< 0.1%
Other values (4) 10
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 984
 
0.5%
1 250
 
0.1%
2 69
 
< 0.1%
3 23
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY4REC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7827937157
Minimum-4
Maximum98
Zeros4
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:42.826153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.68979362
Coefficient of variation (CV)-21.32080686
Kurtosis24.46118173
Mean-0.7827937157
Median Absolute Deviation (MAD)0
Skewness5.130686153
Sum-140906
Variance278.5492112
MonotonicityNot monotonic
2023-09-07T18:30:42.955722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
13 166
 
0.1%
14 158
 
0.1%
15 153
 
0.1%
97 144
 
0.1%
12 140
 
0.1%
10 134
 
0.1%
11 126
 
0.1%
9 99
 
0.1%
Other values (12) 458
 
0.3%
ValueCountFrequency (%)
-4 172608
95.9%
0 4
 
< 0.1%
1 2
 
< 0.1%
2 6
 
< 0.1%
3 22
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY4INT
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8585642541
Minimum-4
Maximum98
Zeros1006
Zeros (%)0.6%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:43.387176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.65887845
Coefficient of variation (CV)-19.40318197
Kurtosis24.75716336
Mean-0.8585642541
Median Absolute Deviation (MAD)0
Skewness5.170029076
Sum-154545
Variance277.5182313
MonotonicityNot monotonic
2023-09-07T18:30:43.514691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 1006
 
0.6%
1 244
 
0.1%
97 144
 
0.1%
2 59
 
< 0.1%
96 52
 
< 0.1%
98 35
 
< 0.1%
3 14
 
< 0.1%
95 11
 
< 0.1%
Other values (4) 13
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 1006
 
0.6%
1 244
 
0.1%
2 59
 
< 0.1%
3 14
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY5REC
Real number (ℝ)

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7785604764
Minimum-4
Maximum98
Zeros0
Zeros (%)0.0%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:43.637725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.69268194
Coefficient of variation (CV)-21.44044355
Kurtosis24.43734969
Mean-0.7785604764
Median Absolute Deviation (MAD)0
Skewness5.127635808
Sum-140144
Variance278.6456305
MonotonicityNot monotonic
2023-09-07T18:30:43.767758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
15 215
 
0.1%
14 184
 
0.1%
12 182
 
0.1%
13 169
 
0.1%
97 144
 
0.1%
11 116
 
0.1%
10 87
 
< 0.1%
9 83
 
< 0.1%
Other values (11) 398
 
0.2%
ValueCountFrequency (%)
-4 172608
95.9%
1 3
 
< 0.1%
2 9
 
< 0.1%
3 20
 
< 0.1%
4 31
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY5INT
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8588753583
Minimum-4
Maximum98
Zeros1041
Zeros (%)0.6%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:43.899271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.6588334
Coefficient of variation (CV)-19.39610124
Kurtosis24.75784908
Mean-0.8588753583
Median Absolute Deviation (MAD)0
Skewness5.170125217
Sum-154601
Variance277.5167303
MonotonicityNot monotonic
2023-09-07T18:30:44.025791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 1041
 
0.6%
1 220
 
0.1%
97 144
 
0.1%
96 52
 
< 0.1%
2 45
 
< 0.1%
98 35
 
< 0.1%
3 22
 
< 0.1%
95 11
 
< 0.1%
Other values (3) 8
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 1041
 
0.6%
1 220
 
0.1%
2 45
 
< 0.1%
3 22
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY6REC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7941434635
Minimum-4
Maximum98
Zeros72
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:44.151324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.68429932
Coefficient of variation (CV)-21.0091754
Kurtosis24.51085085
Mean-0.7941434635
Median Absolute Deviation (MAD)0
Skewness5.13722183
Sum-142949
Variance278.3658438
MonotonicityNot monotonic
2023-09-07T18:30:44.283363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
97 144
 
0.1%
14 120
 
0.1%
13 120
 
0.1%
12 119
 
0.1%
11 115
 
0.1%
15 114
 
0.1%
10 114
 
0.1%
9 95
 
0.1%
Other values (12) 637
 
0.4%
ValueCountFrequency (%)
-4 172608
95.9%
0 72
 
< 0.1%
1 29
 
< 0.1%
2 38
 
< 0.1%
3 47
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

REY6INT
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8565642986
Minimum-4
Maximum98
Zeros833
Zeros (%)0.5%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:44.409882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.65918049
Coefficient of variation (CV)-19.44883825
Kurtosis24.75267575
Mean-0.8565642986
Median Absolute Deviation (MAD)0
Skewness5.169401417
Sum-154185
Variance277.5282947
MonotonicityNot monotonic
2023-09-07T18:30:44.539418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-4 172608
95.9%
88 5818
 
3.2%
0 833
 
0.5%
1 310
 
0.2%
97 144
 
0.1%
2 125
 
0.1%
96 52
 
< 0.1%
3 41
 
< 0.1%
98 35
 
< 0.1%
4 17
 
< 0.1%
Other values (7) 21
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 833
 
0.5%
1 310
 
0.2%
2 125
 
0.1%
3 41
 
< 0.1%
ValueCountFrequency (%)
98 35
 
< 0.1%
97 144
 
0.1%
96 52
 
< 0.1%
95 11
 
< 0.1%
88 5818
3.2%

OTRAILA
Real number (ℝ)

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.95913424
Minimum-4
Maximum998
Zeros0
Zeros (%)0.0%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:44.681483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum998
Range1002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation114.0687918
Coefficient of variation (CV)10.40855868
Kurtosis57.28430576
Mean10.95913424
Median Absolute Deviation (MAD)0
Skewness7.69063921
Sum1972688
Variance13011.68927
MonotonicityNot monotonic
2023-09-07T18:30:44.838005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 172608
95.9%
888 2575
 
1.4%
8 842
 
0.5%
9 733
 
0.4%
7 674
 
0.4%
10 560
 
0.3%
11 382
 
0.2%
6 305
 
0.2%
12 260
 
0.1%
997 212
 
0.1%
Other values (48) 853
 
0.5%
ValueCountFrequency (%)
-4 172608
95.9%
4 5
 
< 0.1%
5 72
 
< 0.1%
6 305
 
0.2%
7 674
 
0.4%
ValueCountFrequency (%)
998 28
 
< 0.1%
997 212
 
0.1%
996 81
 
< 0.1%
995 11
 
< 0.1%
888 2575
1.4%

OTRLARR
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.397424502
Minimum-4
Maximum98
Zeros4413
Zeros (%)2.5%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:44.967037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.73260369
Coefficient of variation (CV)-4.893836566
Kurtosis56.83309267
Mean-2.397424502
Median Absolute Deviation (MAD)0
Skewness7.655006417
Sum-431546
Variance137.6539894
MonotonicityNot monotonic
2023-09-07T18:30:45.089557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-4 172608
95.9%
0 4413
 
2.5%
88 2575
 
1.4%
97 212
 
0.1%
96 81
 
< 0.1%
1 55
 
< 0.1%
98 28
 
< 0.1%
95 11
 
< 0.1%
2 8
 
< 0.1%
9 3
 
< 0.1%
Other values (6) 10
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 4413
 
2.5%
1 55
 
< 0.1%
2 8
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
98 28
 
< 0.1%
97 212
 
0.1%
96 81
 
< 0.1%
95 11
 
< 0.1%
88 2575
1.4%

OTRLALI
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.775182774
Minimum-4
Maximum98
Zeros1
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:45.208094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.48284125
Coefficient of variation (CV)-7.031862542
Kurtosis42.96766458
Mean-1.775182774
Median Absolute Deviation (MAD)0
Skewness6.469642084
Sum-319540
Variance155.8213257
MonotonicityNot monotonic
2023-09-07T18:30:45.329587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 172608
95.9%
25 4483
 
2.5%
88 2575
 
1.4%
97 212
 
0.1%
96 81
 
< 0.1%
98 28
 
< 0.1%
95 11
 
< 0.1%
24 2
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 1
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
98 28
 
< 0.1%
97 212
 
0.1%
96 81
 
< 0.1%
95 11
 
< 0.1%
88 2575
1.4%

OTRAILB
Real number (ℝ)

Distinct192
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.23852803
Minimum-4
Maximum998
Zeros0
Zeros (%)0.0%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:45.476223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum998
Range1002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120.3351485
Coefficient of variation (CV)9.089768004
Kurtosis51.62212667
Mean13.23852803
Median Absolute Deviation (MAD)0
Skewness7.293830553
Sum2382988
Variance14480.54797
MonotonicityNot monotonic
2023-09-07T18:30:45.645740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 172608
95.9%
888 2579
 
1.4%
997 256
 
0.1%
996 236
 
0.1%
25 158
 
0.1%
24 158
 
0.1%
23 149
 
0.1%
27 142
 
0.1%
29 132
 
0.1%
22 132
 
0.1%
Other values (182) 3454
 
1.9%
ValueCountFrequency (%)
-4 172608
95.9%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
998 85
 
< 0.1%
997 256
 
0.1%
996 236
 
0.1%
995 12
 
< 0.1%
888 2579
1.4%

OTRLBRR
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.241305749
Minimum-4
Maximum98
Zeros2836
Zeros (%)1.6%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:45.783342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.3268318
Coefficient of variation (CV)-5.499843921
Kurtosis51.74210799
Mean-2.241305749
Median Absolute Deviation (MAD)0
Skewness7.311989587
Sum-403444
Variance151.9507822
MonotonicityNot monotonic
2023-09-07T18:30:45.920651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-4 172608
95.9%
0 2836
 
1.6%
88 2579
 
1.4%
1 741
 
0.4%
2 300
 
0.2%
97 256
 
0.1%
96 236
 
0.1%
3 137
 
0.1%
4 87
 
< 0.1%
98 85
 
< 0.1%
Other values (14) 139
 
0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 2836
 
1.6%
1 741
 
0.4%
2 300
 
0.2%
3 137
 
0.1%
ValueCountFrequency (%)
98 85
 
< 0.1%
97 256
 
0.1%
96 236
 
0.1%
95 12
 
< 0.1%
88 2579
1.4%

OTRLBLI
Real number (ℝ)

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.675451657
Minimum-4
Maximum98
Zeros6
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:46.052188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.98545084
Coefficient of variation (CV)-7.750418095
Kurtosis40.78521068
Mean-1.675451657
Median Absolute Deviation (MAD)0
Skewness6.337657345
Sum-301588
Variance168.6219334
MonotonicityNot monotonic
2023-09-07T18:30:46.190231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-4 172608
95.9%
25 4151
 
2.3%
88 2579
 
1.4%
97 256
 
0.1%
96 236
 
0.1%
98 85
 
< 0.1%
95 12
 
< 0.1%
23 8
 
< 0.1%
16 8
 
< 0.1%
24 7
 
< 0.1%
Other values (19) 54
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 6
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
98 85
 
< 0.1%
97 256
 
0.1%
96 236
 
0.1%
95 12
 
< 0.1%
88 2579
1.4%

REYDREC
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7882380392
Minimum-4
Maximum98
Zeros145
Zeros (%)0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:46.320752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.70819403
Coefficient of variation (CV)-21.19688875
Kurtosis24.42153502
Mean-0.7882380392
Median Absolute Deviation (MAD)0
Skewness5.129154228
Sum-141886
Variance279.1637476
MonotonicityNot monotonic
2023-09-07T18:30:46.448265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5847
 
3.2%
0 145
 
0.1%
97 129
 
0.1%
12 121
 
0.1%
13 119
 
0.1%
15 117
 
0.1%
11 113
 
0.1%
14 103
 
0.1%
9 101
 
0.1%
Other values (12) 601
 
0.3%
ValueCountFrequency (%)
-4 172608
95.9%
0 145
 
0.1%
1 36
 
< 0.1%
2 34
 
< 0.1%
3 32
 
< 0.1%
ValueCountFrequency (%)
98 36
 
< 0.1%
97 129
 
0.1%
96 58
 
< 0.1%
95 11
 
< 0.1%
88 5847
3.2%

REYDINT
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8438423591
Minimum-4
Maximum98
Zeros670
Zeros (%)0.4%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:46.576302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.6849507
Coefficient of variation (CV)-19.77259203
Kurtosis24.64158318
Mean-0.8438423591
Median Absolute Deviation (MAD)0
Skewness5.158423345
Sum-151895
Variance278.38758
MonotonicityNot monotonic
2023-09-07T18:30:46.704820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-4 172608
95.9%
88 5847
 
3.2%
0 670
 
0.4%
1 313
 
0.2%
2 166
 
0.1%
97 129
 
0.1%
3 80
 
< 0.1%
96 58
 
< 0.1%
4 40
 
< 0.1%
98 36
 
< 0.1%
Other values (9) 57
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 670
 
0.4%
1 313
 
0.2%
2 166
 
0.1%
3 80
 
< 0.1%
ValueCountFrequency (%)
98 36
 
< 0.1%
97 129
 
0.1%
96 58
 
< 0.1%
95 11
 
< 0.1%
88 5847
3.2%

REYTCOR
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7541776849
Minimum-4
Maximum98
Zeros3
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:46.831337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.72836382
Coefficient of variation (CV)-22.18093183
Kurtosis24.25028712
Mean-0.7541776849
Median Absolute Deviation (MAD)0
Skewness5.106972203
Sum-135755
Variance279.8381561
MonotonicityNot monotonic
2023-09-07T18:30:46.961547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-4 172608
95.9%
88 5847
 
3.2%
15 505
 
0.3%
14 326
 
0.2%
13 192
 
0.1%
97 129
 
0.1%
12 86
 
< 0.1%
11 71
 
< 0.1%
96 58
 
< 0.1%
9 39
 
< 0.1%
Other values (12) 143
 
0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 3
 
< 0.1%
1 4
 
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
98 36
 
< 0.1%
97 129
 
0.1%
96 58
 
< 0.1%
95 11
 
< 0.1%
88 5847
3.2%

REYFPOS
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8405535433
Minimum-4
Maximum98
Zeros515
Zeros (%)0.3%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:47.090585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.68569605
Coefficient of variation (CV)-19.85084256
Kurtosis24.63259911
Mean-0.8405535433
Median Absolute Deviation (MAD)0
Skewness5.157182488
Sum-151303
Variance278.4124527
MonotonicityNot monotonic
2023-09-07T18:30:47.219101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4 172608
95.9%
88 5847
 
3.2%
0 515
 
0.3%
1 355
 
0.2%
2 201
 
0.1%
97 129
 
0.1%
3 91
 
0.1%
96 58
 
< 0.1%
4 54
 
< 0.1%
98 36
 
< 0.1%
Other values (10) 110
 
0.1%
ValueCountFrequency (%)
-4 172608
95.9%
0 515
 
0.3%
1 355
 
0.2%
2 201
 
0.1%
3 91
 
0.1%
ValueCountFrequency (%)
98 36
 
< 0.1%
97 129
 
0.1%
96 58
 
< 0.1%
95 11
 
< 0.1%
88 5847
3.2%

VNTTOTW
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9405513211
Minimum-4
Maximum98
Zeros2
Zeros (%)< 0.1%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:47.364648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.40982343
Coefficient of variation (CV)-16.38381987
Kurtosis25.62879021
Mean-0.9405513211
Median Absolute Deviation (MAD)0
Skewness5.146548949
Sum-169303
Variance237.4626581
MonotonicityNot monotonic
2023-09-07T18:30:47.523704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 172608
95.9%
88 3974
 
2.2%
50 676
 
0.4%
49 614
 
0.3%
48 431
 
0.2%
47 311
 
0.2%
46 232
 
0.1%
97 163
 
0.1%
45 162
 
0.1%
44 140
 
0.1%
Other values (43) 693
 
0.4%
ValueCountFrequency (%)
-4 172608
95.9%
0 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
98 30
 
< 0.1%
97 163
 
0.1%
96 78
 
< 0.1%
95 10
 
< 0.1%
88 3974
2.2%

VNTPCNC
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.622013955
Minimum-4
Maximum98
Zeros712
Zeros (%)0.4%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:47.661202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum98
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.34352235
Coefficient of variation (CV)-8.843032639
Kurtosis35.53297325
Mean-1.622013955
Median Absolute Deviation (MAD)0
Skewness6.114169214
Sum-291969
Variance205.7366333
MonotonicityNot monotonic
2023-09-07T18:30:47.796229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-4 172608
95.9%
88 4145
 
2.3%
1 749
 
0.4%
0 712
 
0.4%
2 514
 
0.3%
3 345
 
0.2%
4 230
 
0.1%
97 163
 
0.1%
5 146
 
0.1%
6 88
 
< 0.1%
Other values (16) 304
 
0.2%
ValueCountFrequency (%)
-4 172608
95.9%
0 712
 
0.4%
1 749
 
0.4%
2 514
 
0.3%
3 345
 
0.2%
ValueCountFrequency (%)
98 30
 
< 0.1%
97 163
 
0.1%
96 77
 
< 0.1%
95 9
 
< 0.1%
88 4145
2.3%

RESPVAL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.790132442
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative172608
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:30:47.914781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.016163087
Coefficient of variation (CV)-0.2681075405
Kurtosis19.90917184
Mean-3.790132442
Median Absolute Deviation (MAD)0
Skewness4.662864383
Sum-682239
Variance1.032587419
MonotonicityNot monotonic
2023-09-07T18:30:48.029273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172608
95.9%
1 6664
 
3.7%
2 667
 
0.4%
3 65
 
< 0.1%
ValueCountFrequency (%)
-4 172608
95.9%
1 6664
 
3.7%
2 667
 
0.4%
3 65
 
< 0.1%
ValueCountFrequency (%)
3 65
 
< 0.1%
2 667
 
0.4%
1 6664
 
3.7%
-4 172608
95.9%

RESPHEAR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.982161508
Minimum-4
Maximum1
Zeros449
Zeros (%)0.2%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:48.155804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2808863344
Coefficient of variation (CV)-0.07053614823
Kurtosis253.3922493
Mean-3.982161508
Median Absolute Deviation (MAD)0
Skewness15.88106559
Sum-716805
Variance0.07889713283
MonotonicityNot monotonic
2023-09-07T18:30:48.279832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 449
 
0.2%
1 283
 
0.2%
ValueCountFrequency (%)
-4 179272
99.6%
0 449
 
0.2%
1 283
 
0.2%
ValueCountFrequency (%)
1 283
 
0.2%
0 449
 
0.2%
-4 179272
99.6%

RESPDIST
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.98264483
Minimum-4
Maximum1
Zeros536
Zeros (%)0.3%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:48.393937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2730644893
Coefficient of variation (CV)-0.06856360558
Kurtosis252.466105
Mean-3.98264483
Median Absolute Deviation (MAD)0
Skewness15.85394263
Sum-716892
Variance0.07456421531
MonotonicityNot monotonic
2023-09-07T18:30:48.510455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 536
 
0.3%
1 196
 
0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 536
 
0.3%
1 196
 
0.1%
ValueCountFrequency (%)
1 196
 
0.1%
0 536
 
0.3%
-4 179272
99.6%

RESPINTR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.983055932
Minimum-4
Maximum1
Zeros610
Zeros (%)0.3%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:48.628968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2662299336
Coefficient of variation (CV)-0.06684062141
Kurtosis249.9722379
Mean-3.983055932
Median Absolute Deviation (MAD)0
Skewness15.79239446
Sum-716966
Variance0.07087837754
MonotonicityNot monotonic
2023-09-07T18:30:48.751507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 610
 
0.3%
1 122
 
0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 610
 
0.3%
1 122
 
0.1%
ValueCountFrequency (%)
1 122
 
0.1%
0 610
 
0.3%
-4 179272
99.6%

RESPDISN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.983383703
Minimum-4
Maximum1
Zeros669
Zeros (%)0.4%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:49.163155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2606519267
Coefficient of variation (CV)-0.0654348027
Kurtosis246.4993838
Mean-3.983383703
Median Absolute Deviation (MAD)0
Skewness15.71127445
Sum-717025
Variance0.06793942687
MonotonicityNot monotonic
2023-09-07T18:30:49.277184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 669
 
0.4%
1 63
 
< 0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 669
 
0.4%
1 63
 
< 0.1%
ValueCountFrequency (%)
1 63
 
< 0.1%
0 669
 
0.4%
-4 179272
99.6%

RESPFATG
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.983494811
Minimum-4
Maximum1
Zeros689
Zeros (%)0.4%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:49.389739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2587336925
Coefficient of variation (CV)-0.06495143204
Kurtosis244.9591307
Mean-3.983494811
Median Absolute Deviation (MAD)0
Skewness15.67616513
Sum-717045
Variance0.06694312364
MonotonicityNot monotonic
2023-09-07T18:30:49.504134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 689
 
0.4%
1 43
 
< 0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 689
 
0.4%
1 43
 
< 0.1%
ValueCountFrequency (%)
1 43
 
< 0.1%
0 689
 
0.4%
-4 179272
99.6%

RESPEMOT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.983461479
Minimum-4
Maximum1
Zeros683
Zeros (%)0.4%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:49.630667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2593106577
Coefficient of variation (CV)-0.0650968157
Kurtosis245.4423922
Mean-3.983461479
Median Absolute Deviation (MAD)0
Skewness15.68713605
Sum-717039
Variance0.0672420172
MonotonicityNot monotonic
2023-09-07T18:30:49.750182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 683
 
0.4%
1 49
 
< 0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 683
 
0.4%
1 49
 
< 0.1%
ValueCountFrequency (%)
1 49
 
< 0.1%
0 683
 
0.4%
-4 179272
99.6%

RESPASST
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.983472589
Minimum-4
Maximum1
Zeros685
Zeros (%)0.4%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:49.861702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2591184792
Coefficient of variation (CV)-0.06504839016
Kurtosis245.2833653
Mean-3.983472589
Median Absolute Deviation (MAD)0
Skewness15.68352155
Sum-717041
Variance0.06714238626
MonotonicityNot monotonic
2023-09-07T18:30:49.983730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 685
 
0.4%
1 47
 
< 0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 685
 
0.4%
1 47
 
< 0.1%
ValueCountFrequency (%)
1 47
 
< 0.1%
0 685
 
0.4%
-4 179272
99.6%

RESPOTH
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.982528166
Minimum-4
Maximum1
Zeros515
Zeros (%)0.3%
Negative179272
Negative (%)99.6%
Memory size1.4 MiB
2023-09-07T18:30:50.093249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2749729709
Coefficient of variation (CV)-0.06904482767
Kurtosis252.8646596
Mean-3.982528166
Median Absolute Deviation (MAD)0
Skewness15.86452077
Sum-716871
Variance0.07561013473
MonotonicityNot monotonic
2023-09-07T18:30:50.208770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 179272
99.6%
0 515
 
0.3%
1 217
 
0.1%
ValueCountFrequency (%)
-4 179272
99.6%
0 515
 
0.3%
1 217
 
0.1%
ValueCountFrequency (%)
1 217
 
0.1%
0 515
 
0.3%
-4 179272
99.6%

RESPOTHX
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

WHODIDDX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6867736273
Minimum-4
Maximum2
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:50.316303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median1
Q32
95-th percentile2
Maximum2
Range6
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.862216598
Coefficient of variation (CV)-4.167627417
Kurtosis-1.88440181
Mean-0.6867736273
Median Absolute Deviation (MAD)1
Skewness-0.2699228756
Sum-123622
Variance8.192283854
MonotonicityNot monotonic
2023-09-07T18:30:50.419819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 78109
43.4%
-4 76347
42.4%
1 25548
 
14.2%
ValueCountFrequency (%)
-4 76347
42.4%
1 25548
 
14.2%
2 78109
43.4%
ValueCountFrequency (%)
2 78109
43.4%
1 25548
 
14.2%
-4 76347
42.4%

DXMETHOD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.480694873
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:50.535345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q32
95-th percentile3
Maximum3
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.960346849
Coefficient of variation (CV)-1.99929567
Kurtosis-1.806172749
Mean-1.480694873
Median Absolute Deviation (MAD)0
Skewness0.3572664464
Sum-266531
Variance8.763653465
MonotonicityNot monotonic
2023-09-07T18:30:50.652863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
2 49724
27.6%
1 15610
 
8.7%
3 11013
 
6.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 15610
 
8.7%
2 49724
27.6%
3 11013
 
6.1%
ValueCountFrequency (%)
3 11013
 
6.1%
2 49724
27.6%
1 15610
 
8.7%
-4 103657
57.6%

NORMCOG
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4779060465
Minimum0
Maximum1
Zeros93979
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:50.771901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995130062
Coefficient of variation (CV)1.045211731
Kurtosis-1.99219644
Mean0.4779060465
Median Absolute Deviation (MAD)0
Skewness0.08846295764
Sum86025
Variance0.2495132434
MonotonicityNot monotonic
2023-09-07T18:30:50.884418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 93979
52.2%
1 86025
47.8%
ValueCountFrequency (%)
0 93979
52.2%
1 86025
47.8%
ValueCountFrequency (%)
1 86025
47.8%
0 93979
52.2%

DEMENTED
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3038543588
Minimum0
Maximum1
Zeros125309
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:50.987937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4599218005
Coefficient of variation (CV)1.513625812
Kurtosis-1.272470624
Mean0.3038543588
Median Absolute Deviation (MAD)0
Skewness0.8529616138
Sum54695
Variance0.2115280626
MonotonicityNot monotonic
2023-09-07T18:30:51.104449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 125309
69.6%
1 54695
30.4%
ValueCountFrequency (%)
0 125309
69.6%
1 54695
30.4%
ValueCountFrequency (%)
1 54695
30.4%
0 125309
69.6%

AMNDEM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2657218728
Minimum-4
Maximum8
Zeros5692
Zeros (%)3.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:51.209968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.396812784
Coefficient of variation (CV)20.31000582
Kurtosis-1.463541377
Mean0.2657218728
Median Absolute Deviation (MAD)0
Skewness0.6310853923
Sum47831
Variance29.12558822
MonotonicityNot monotonic
2023-09-07T18:30:51.318489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 55972
31.1%
1 14683
 
8.2%
0 5692
 
3.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 5692
 
3.2%
1 14683
 
8.2%
8 55972
31.1%
ValueCountFrequency (%)
8 55972
31.1%
1 14683
 
8.2%
0 5692
 
3.2%
-4 103657
57.6%

PCA
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.186756961
Minimum-4
Maximum8
Zeros19969
Zeros (%)11.1%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:51.423007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.393065267
Coefficient of variation (CV)28.87745249
Kurtosis-1.42075947
Mean0.186756961
Median Absolute Deviation (MAD)0
Skewness0.676268994
Sum33617
Variance29.08515298
MonotonicityNot monotonic
2023-09-07T18:30:51.534526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 55981
31.1%
0 19969
 
11.1%
1 397
 
0.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 19969
 
11.1%
1 397
 
0.2%
8 55981
31.1%
ValueCountFrequency (%)
8 55981
31.1%
1 397
 
0.2%
0 19969
 
11.1%
-4 103657
57.6%

NACCPPA
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.428773805
Minimum0
Maximum8
Zeros75108
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:51.644036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.883604112
Coefficient of variation (CV)0.8769027914
Kurtosis-1.923592932
Mean4.428773805
Median Absolute Deviation (MAD)1
Skewness-0.23769278
Sum797197
Variance15.0823809
MonotonicityNot monotonic
2023-09-07T18:30:51.761556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 86025
47.8%
0 75108
41.7%
7 15021
 
8.3%
1 3850
 
2.1%
ValueCountFrequency (%)
0 75108
41.7%
1 3850
 
2.1%
7 15021
 
8.3%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 15021
 
8.3%
1 3850
 
2.1%
0 75108
41.7%

NACCPPAG
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9404402124
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:51.875582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.787935709
Coefficient of variation (CV)6.154496195
Kurtosis-1.87298372
Mean0.9404402124
Median Absolute Deviation (MAD)0
Skewness0.3310540484
Sum169283
Variance33.50019977
MonotonicityNot monotonic
2023-09-07T18:30:51.993095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 103657
57.6%
8 57414
31.9%
7 17272
 
9.6%
2 525
 
0.3%
1 503
 
0.3%
3 390
 
0.2%
4 243
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 503
 
0.3%
2 525
 
0.3%
3 390
 
0.2%
4 243
 
0.1%
ValueCountFrequency (%)
8 57414
31.9%
7 17272
 
9.6%
4 243
 
0.1%
3 390
 
0.2%
2 525
 
0.3%

NACCPPME
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.510022
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:52.109619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.632615211
Coefficient of variation (CV)2.244050137
Kurtosis-1.894889875
Mean2.510022
Median Absolute Deviation (MAD)1
Skewness-0.2687543306
Sum451814
Variance31.72635412
MonotonicityNot monotonic
2023-09-07T18:30:52.223202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 76347
42.4%
7 53441
29.7%
8 45065
25.0%
6 2962
 
1.6%
1 867
 
0.5%
2 627
 
0.3%
4 617
 
0.3%
3 78
 
< 0.1%
ValueCountFrequency (%)
-4 76347
42.4%
1 867
 
0.5%
2 627
 
0.3%
3 78
 
< 0.1%
4 617
 
0.3%
ValueCountFrequency (%)
8 45065
25.0%
7 53441
29.7%
6 2962
 
1.6%
4 617
 
0.3%
3 78
 
< 0.1%

NACCBVFT
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.590903535
Minimum0
Maximum8
Zeros50782
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:52.331716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.649237055
Coefficient of variation (CV)0.6527097153
Kurtosis-1.25896234
Mean5.590903535
Median Absolute Deviation (MAD)0
Skewness-0.8575443399
Sum1006385
Variance13.31693108
MonotonicityNot monotonic
2023-09-07T18:30:52.446233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 125309
69.6%
0 50782
28.2%
1 3913
 
2.2%
ValueCountFrequency (%)
0 50782
28.2%
1 3913
 
2.2%
8 125309
69.6%
ValueCountFrequency (%)
8 125309
69.6%
1 3913
 
2.2%
0 50782
28.2%

NACCLBDS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.590164663
Minimum0
Maximum8
Zeros50915
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:52.564268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.650267611
Coefficient of variation (CV)0.652980338
Kurtosis-1.259404479
Mean5.590164663
Median Absolute Deviation (MAD)0
Skewness-0.8573959464
Sum1006252
Variance13.32445363
MonotonicityNot monotonic
2023-09-07T18:30:52.684331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 125309
69.6%
0 50915
28.3%
1 3780
 
2.1%
ValueCountFrequency (%)
0 50915
28.3%
1 3780
 
2.1%
8 125309
69.6%
ValueCountFrequency (%)
8 125309
69.6%
1 3780
 
2.1%
0 50915
28.3%

NAMNDEM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2506333193
Minimum-4
Maximum8
Zeros18502
Zeros (%)10.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:52.795847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.437545901
Coefficient of variation (CV)21.69522359
Kurtosis-1.469152546
Mean0.2506333193
Median Absolute Deviation (MAD)0
Skewness0.6481840254
Sum45115
Variance29.56690543
MonotonicityNot monotonic
2023-09-07T18:30:52.905364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 57414
31.9%
0 18502
 
10.3%
1 431
 
0.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 18502
 
10.3%
1 431
 
0.2%
8 57414
31.9%
ValueCountFrequency (%)
8 57414
31.9%
1 431
 
0.2%
0 18502
 
10.3%
-4 103657
57.6%

NACCTMCI
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.945334548
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:53.009882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.325221461
Coefficient of variation (CV)0.3347889789
Kurtosis1.386954097
Mean6.945334548
Median Absolute Deviation (MAD)0
Skewness-1.805985807
Sum1250188
Variance5.406654844
MonotonicityNot monotonic
2023-09-07T18:30:53.127402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 148656
82.6%
2 14721
 
8.2%
1 10393
 
5.8%
3 3831
 
2.1%
4 2403
 
1.3%
ValueCountFrequency (%)
1 10393
 
5.8%
2 14721
 
8.2%
3 3831
 
2.1%
4 2403
 
1.3%
8 148656
82.6%
ValueCountFrequency (%)
8 148656
82.6%
4 2403
 
1.3%
3 3831
 
2.1%
2 14721
 
8.2%
1 10393
 
5.8%

NACCMCIL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.575881647
Minimum0
Maximum8
Zeros23989
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:53.237914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.00115303
Coefficient of variation (CV)0.4563879326
Kurtosis0.7225676706
Mean6.575881647
Median Absolute Deviation (MAD)0
Skewness-1.642773003
Sum1183685
Variance9.00691951
MonotonicityNot monotonic
2023-09-07T18:30:53.357435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 146810
81.6%
0 23989
 
13.3%
1 9205
 
5.1%
ValueCountFrequency (%)
0 23989
 
13.3%
1 9205
 
5.1%
8 146810
81.6%
ValueCountFrequency (%)
8 146810
81.6%
1 9205
 
5.1%
0 23989
 
13.3%

NACCMCIA
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.555909869
Minimum0
Maximum8
Zeros27577
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:53.472476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.041200947
Coefficient of variation (CV)0.4638869369
Kurtosis0.6975924229
Mean6.555909869
Median Absolute Deviation (MAD)0
Skewness-1.637719945
Sum1180090
Variance9.248903202
MonotonicityNot monotonic
2023-09-07T18:30:53.589997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 146809
81.6%
0 27577
 
15.3%
1 5618
 
3.1%
ValueCountFrequency (%)
0 27577
 
15.3%
1 5618
 
3.1%
8 146809
81.6%
ValueCountFrequency (%)
8 146809
81.6%
1 5618
 
3.1%
0 27577
 
15.3%

NACCMCIE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.60631986
Minimum0
Maximum8
Zeros18510
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:53.704514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.938726427
Coefficient of variation (CV)0.4448356255
Kurtosis0.7480718132
Mean6.60631986
Median Absolute Deviation (MAD)0
Skewness-1.647650417
Sum1189164
Variance8.636113012
MonotonicityNot monotonic
2023-09-07T18:30:53.827032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 146810
81.6%
0 18510
 
10.3%
1 14684
 
8.2%
ValueCountFrequency (%)
0 18510
 
10.3%
1 14684
 
8.2%
8 146810
81.6%
ValueCountFrequency (%)
8 146810
81.6%
1 14684
 
8.2%
0 18510
 
10.3%

NACCMCIV
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.549232239
Minimum0
Maximum8
Zeros28800
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:53.951571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.054614644
Coefficient of variation (CV)0.4664080509
Kurtosis0.6883588302
Mean6.549232239
Median Absolute Deviation (MAD)0
Skewness-1.635866499
Sum1178888
Variance9.330670622
MonotonicityNot monotonic
2023-09-07T18:30:54.069136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 146812
81.6%
0 28800
 
16.0%
1 4392
 
2.4%
ValueCountFrequency (%)
0 28800
 
16.0%
1 4392
 
2.4%
8 146812
81.6%
ValueCountFrequency (%)
8 146812
81.6%
1 4392
 
2.4%
0 28800
 
16.0%

NACCMCII
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4619397347
Minimum0
Maximum8
Zeros123859
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:54.182181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.203660857
Coefficient of variation (CV)2.605666426
Kurtosis29.99646775
Mean0.4619397347
Median Absolute Deviation (MAD)0
Skewness5.251511021
Sum83151
Variance1.44879946
MonotonicityNot monotonic
2023-09-07T18:30:54.301702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 123859
68.8%
1 52287
29.0%
8 3858
 
2.1%
ValueCountFrequency (%)
0 123859
68.8%
1 52287
29.0%
8 3858
 
2.1%
ValueCountFrequency (%)
8 3858
 
2.1%
1 52287
29.0%
0 123859
68.8%

IMPNOMCI
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04408790916
Minimum0
Maximum1
Zeros172068
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:54.428220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2052910119
Coefficient of variation (CV)4.656401626
Kurtosis17.72860272
Mean0.04408790916
Median Absolute Deviation (MAD)0
Skewness4.441667001
Sum7936
Variance0.04214439955
MonotonicityNot monotonic
2023-09-07T18:30:54.548476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 172068
95.6%
1 7936
 
4.4%
ValueCountFrequency (%)
0 172068
95.6%
1 7936
 
4.4%
ValueCountFrequency (%)
1 7936
 
4.4%
0 172068
95.6%

AMYLPET
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7484667007
Minimum-4
Maximum8
Zeros4259
Zeros (%)2.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:54.664020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.737336575
Coefficient of variation (CV)7.665453345
Kurtosis-1.763165047
Mean0.7484667007
Median Absolute Deviation (MAD)0
Skewness0.4382705015
Sum134727
Variance32.91703098
MonotonicityNot monotonic
2023-09-07T18:30:54.780055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 68181
37.9%
0 4259
 
2.4%
1 3907
 
2.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 4259
 
2.4%
1 3907
 
2.2%
8 68181
37.9%
ValueCountFrequency (%)
8 68181
37.9%
1 3907
 
2.2%
0 4259
 
2.4%
-4 103657
57.6%

AMYLCSF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9058187596
Minimum-4
Maximum8
Zeros2388
Zeros (%)1.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:54.887573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.830072601
Coefficient of variation (CV)6.436246257
Kurtosis-1.834843615
Mean0.9058187596
Median Absolute Deviation (MAD)0
Skewness0.3771176759
Sum163051
Variance33.98974653
MonotonicityNot monotonic
2023-09-07T18:30:54.996738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 71960
40.0%
0 2388
 
1.3%
1 1999
 
1.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 2388
 
1.3%
1 1999
 
1.1%
8 71960
40.0%
ValueCountFrequency (%)
8 71960
40.0%
1 1999
 
1.1%
0 2388
 
1.3%
-4 103657
57.6%

FDGAD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9189018022
Minimum-4
Maximum8
Zeros2308
Zeros (%)1.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:55.103254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.837813464
Coefficient of variation (CV)6.353032991
Kurtosis-1.840440415
Mean0.9189018022
Median Absolute Deviation (MAD)0
Skewness0.3721379619
Sum165406
Variance34.08006605
MonotonicityNot monotonic
2023-09-07T18:30:55.212797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 72285
40.2%
0 2308
 
1.3%
1 1754
 
1.0%
ValueCountFrequency (%)
-4 103657
57.6%
0 2308
 
1.3%
1 1754
 
1.0%
8 72285
40.2%
ValueCountFrequency (%)
8 72285
40.2%
1 1754
 
1.0%
0 2308
 
1.3%
-4 103657
57.6%

HIPPATR
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1536354748
Minimum-4
Maximum8
Zeros17772
Zeros (%)9.9%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:55.320060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.09266488
Coefficient of variation (CV)-33.14771467
Kurtosis-1.09986196
Mean-0.1536354748
Median Absolute Deviation (MAD)0
Skewness0.8223092671
Sum-27655
Variance25.93523558
MonotonicityNot monotonic
2023-09-07T18:30:55.442570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 46914
26.1%
0 17772
 
9.9%
1 11661
 
6.5%
ValueCountFrequency (%)
-4 103657
57.6%
0 17772
 
9.9%
1 11661
 
6.5%
8 46914
26.1%
ValueCountFrequency (%)
8 46914
26.1%
1 11661
 
6.5%
0 17772
 
9.9%
-4 103657
57.6%

TAUPETAD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9951612186
Minimum-4
Maximum8
Zeros1475
Zeros (%)0.8%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:55.555087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.88076669
Coefficient of variation (CV)5.909360795
Kurtosis-1.871242557
Mean0.9951612186
Median Absolute Deviation (MAD)0
Skewness0.3430207846
Sum179133
Variance34.58341686
MonotonicityNot monotonic
2023-09-07T18:30:55.678122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 74127
41.2%
0 1475
 
0.8%
1 745
 
0.4%
ValueCountFrequency (%)
-4 103657
57.6%
0 1475
 
0.8%
1 745
 
0.4%
8 74127
41.2%
ValueCountFrequency (%)
8 74127
41.2%
1 745
 
0.4%
0 1475
 
0.8%
-4 103657
57.6%

CSFTAU
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9145963423
Minimum-4
Maximum8
Zeros2383
Zeros (%)1.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:55.787642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.835455772
Coefficient of variation (CV)6.380362026
Kurtosis-1.838669589
Mean0.9145963423
Median Absolute Deviation (MAD)0
Skewness0.3738083725
Sum164631
Variance34.05254407
MonotonicityNot monotonic
2023-09-07T18:30:55.912159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 72185
40.1%
0 2383
 
1.3%
1 1779
 
1.0%
ValueCountFrequency (%)
-4 103657
57.6%
0 2383
 
1.3%
1 1779
 
1.0%
8 72185
40.1%
ValueCountFrequency (%)
8 72185
40.1%
1 1779
 
1.0%
0 2383
 
1.3%
-4 103657
57.6%

FDGFTLD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9410568654
Minimum-4
Maximum8
Zeros2541
Zeros (%)1.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:56.022745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.85223123
Coefficient of variation (CV)6.218785969
Kurtosis-1.850241814
Mean0.9410568654
Median Absolute Deviation (MAD)0
Skewness0.3639662933
Sum169394
Variance34.24861038
MonotonicityNot monotonic
2023-09-07T18:30:56.145262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 72888
40.5%
0 2541
 
1.4%
1 918
 
0.5%
ValueCountFrequency (%)
-4 103657
57.6%
0 2541
 
1.4%
1 918
 
0.5%
8 72888
40.5%
ValueCountFrequency (%)
8 72888
40.5%
1 918
 
0.5%
0 2541
 
1.4%
-4 103657
57.6%

TPETFTLD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.005066554
Minimum-4
Maximum8
Zeros1813
Zeros (%)1.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:56.259348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.887934639
Coefficient of variation (CV)5.858253481
Kurtosis-1.875657515
Mean1.005066554
Median Absolute Deviation (MAD)0
Skewness0.339547952
Sum180916
Variance34.66777431
MonotonicityNot monotonic
2023-09-07T18:30:56.368866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 74430
41.3%
0 1813
 
1.0%
1 104
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 1813
 
1.0%
1 104
 
0.1%
8 74430
41.3%
ValueCountFrequency (%)
8 74430
41.3%
1 104
 
0.1%
0 1813
 
1.0%
-4 103657
57.6%

MRFTLD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1359247572
Minimum-4
Maximum8
Zeros25490
Zeros (%)14.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:56.471380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.142254154
Coefficient of variation (CV)-37.83162287
Kurtosis-1.128923928
Mean-0.1359247572
Median Absolute Deviation (MAD)0
Skewness0.8223401012
Sum-24467
Variance26.44277778
MonotonicityNot monotonic
2023-09-07T18:30:56.579945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 48472
26.9%
0 25490
 
14.2%
1 2385
 
1.3%
ValueCountFrequency (%)
-4 103657
57.6%
0 25490
 
14.2%
1 2385
 
1.3%
8 48472
26.9%
ValueCountFrequency (%)
8 48472
26.9%
1 2385
 
1.3%
0 25490
 
14.2%
-4 103657
57.6%

DATSCAN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.02956601
Minimum-4
Maximum8
Zeros994
Zeros (%)0.6%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:56.693466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.899323993
Coefficient of variation (CV)5.729913321
Kurtosis-1.884269647
Mean1.02956601
Median Absolute Deviation (MAD)0
Skewness0.3298996599
Sum185326
Variance34.80202358
MonotonicityNot monotonic
2023-09-07T18:30:56.801980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 74943
41.6%
0 994
 
0.6%
1 410
 
0.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 994
 
0.6%
1 410
 
0.2%
8 74943
41.6%
ValueCountFrequency (%)
8 74943
41.6%
1 410
 
0.2%
0 994
 
0.6%
-4 103657
57.6%

OTHBIOM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.291643519
Minimum-4
Maximum1
Zeros74224
Zeros (%)41.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:56.911507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.993473613
Coefficient of variation (CV)-0.8698881814
Kurtosis-1.881614525
Mean-2.291643519
Median Absolute Deviation (MAD)0
Skewness0.317104978
Sum-412505
Variance3.973937047
MonotonicityNot monotonic
2023-09-07T18:30:57.021687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 74224
41.2%
1 2123
 
1.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 74224
41.2%
1 2123
 
1.2%
ValueCountFrequency (%)
1 2123
 
1.2%
0 74224
41.2%
-4 103657
57.6%

IMAGLINF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3090264661
Minimum-4
Maximum8
Zeros30917
Zeros (%)17.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:57.125202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.004900347
Coefficient of variation (CV)-16.19570133
Kurtosis-0.9391213623
Mean-0.3090264661
Median Absolute Deviation (MAD)0
Skewness0.9078811214
Sum-55626
Variance25.04902748
MonotonicityNot monotonic
2023-09-07T18:30:57.234721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 44796
24.9%
0 30917
 
17.2%
1 634
 
0.4%
ValueCountFrequency (%)
-4 103657
57.6%
0 30917
 
17.2%
1 634
 
0.4%
8 44796
24.9%
ValueCountFrequency (%)
8 44796
24.9%
1 634
 
0.4%
0 30917
 
17.2%
-4 103657
57.6%

IMAGLAC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3024321682
Minimum-4
Maximum8
Zeros28806
Zeros (%)16.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:57.342236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.001858454
Coefficient of variation (CV)-16.53877788
Kurtosis-0.9443991023
Mean-0.3024321682
Median Absolute Deviation (MAD)0
Skewness0.9024422875
Sum-54439
Variance25.018588
MonotonicityNot monotonic
2023-09-07T18:30:57.455797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 44664
24.8%
0 28806
 
16.0%
1 2877
 
1.6%
ValueCountFrequency (%)
-4 103657
57.6%
0 28806
 
16.0%
1 2877
 
1.6%
8 44664
24.8%
ValueCountFrequency (%)
8 44664
24.8%
1 2877
 
1.6%
0 28806
 
16.0%
-4 103657
57.6%

IMAGMACH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2756327637
Minimum-4
Maximum8
Zeros30527
Zeros (%)17.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:57.562331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.035053473
Coefficient of variation (CV)-18.26725316
Kurtosis-0.9788959672
Mean-0.2756327637
Median Absolute Deviation (MAD)0
Skewness0.8917779785
Sum-49615
Variance25.35176347
MonotonicityNot monotonic
2023-09-07T18:30:57.988941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 45599
25.3%
0 30527
 
17.0%
1 221
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 30527
 
17.0%
1 221
 
0.1%
8 45599
25.3%
ValueCountFrequency (%)
8 45599
25.3%
1 221
 
0.1%
0 30527
 
17.0%
-4 103657
57.6%

IMAGMICH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002577720495
Minimum-4
Maximum8
Zeros22826
Zeros (%)12.7%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:58.113460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.252559184
Coefficient of variation (CV)2037.675998
Kurtosis-1.263633774
Mean0.002577720495
Median Absolute Deviation (MAD)0
Skewness0.758132686
Sum464
Variance27.58937798
MonotonicityNot monotonic
2023-09-07T18:30:58.244993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 51653
28.7%
0 22826
 
12.7%
1 1868
 
1.0%
ValueCountFrequency (%)
-4 103657
57.6%
0 22826
 
12.7%
1 1868
 
1.0%
8 51653
28.7%
ValueCountFrequency (%)
8 51653
28.7%
1 1868
 
1.0%
0 22826
 
12.7%
-4 103657
57.6%

IMAGMWMH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3144819004
Minimum-4
Maximum8
Zeros27951
Zeros (%)15.5%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:58.351510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.986452321
Coefficient of variation (CV)-15.85608683
Kurtosis-0.9285546728
Mean-0.3144819004
Median Absolute Deviation (MAD)0
Skewness0.9071309275
Sum-56608
Variance24.86470675
MonotonicityNot monotonic
2023-09-07T18:30:58.472035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 44232
24.6%
0 27951
 
15.5%
1 4164
 
2.3%
ValueCountFrequency (%)
-4 103657
57.6%
0 27951
 
15.5%
1 4164
 
2.3%
8 44232
24.6%
ValueCountFrequency (%)
8 44232
24.6%
1 4164
 
2.3%
0 27951
 
15.5%
-4 103657
57.6%

IMAGEWMH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.325970534
Minimum-4
Maximum8
Zeros31062
Zeros (%)17.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:58.583318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.989209844
Coefficient of variation (CV)-15.30570811
Kurtosis-0.9184270774
Mean-0.325970534
Median Absolute Deviation (MAD)0
Skewness0.9160400248
Sum-58676
Variance24.89221487
MonotonicityNot monotonic
2023-09-07T18:30:58.696664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 44381
24.7%
0 31062
 
17.3%
1 904
 
0.5%
ValueCountFrequency (%)
-4 103657
57.6%
0 31062
 
17.3%
1 904
 
0.5%
8 44381
24.7%
ValueCountFrequency (%)
8 44381
24.7%
1 904
 
0.5%
0 31062
 
17.3%
-4 103657
57.6%

OTHMUT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.384541455
Minimum-4
Maximum9
Zeros2504
Zeros (%)1.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:30:58.812181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.362762315
Coefficient of variation (CV)4.595573714
Kurtosis-1.863841004
Mean1.384541455
Median Absolute Deviation (MAD)0
Skewness0.3533469845
Sum249223
Variance40.48474428
MonotonicityNot monotonic
2023-09-07T18:30:58.921696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
9 73751
41.0%
0 2504
 
1.4%
1 92
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 2504
 
1.4%
1 92
 
0.1%
9 73751
41.0%
ValueCountFrequency (%)
9 73751
41.0%
1 92
 
0.1%
0 2504
 
1.4%
-4 103657
57.6%

NACCALZD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.178301593
Minimum0
Maximum8
Zeros30068
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:59.030213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.671908346
Coefficient of variation (CV)0.878804046
Kurtosis-1.959857137
Mean4.178301593
Median Absolute Deviation (MAD)1
Skewness0.06244025112
Sum752111
Variance13.4829109
MonotonicityNot monotonic
2023-09-07T18:30:59.142732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 86025
47.8%
1 63911
35.5%
0 30068
 
16.7%
ValueCountFrequency (%)
0 30068
 
16.7%
1 63911
35.5%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
1 63911
35.5%
0 30068
 
16.7%

NACCALZP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.366891847
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:30:59.254315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.221934017
Coefficient of variation (CV)0.6003351864
Kurtosis-1.619507606
Mean5.366891847
Median Absolute Deviation (MAD)1
Skewness-0.5754970611
Sum966062
Variance10.38085881
MonotonicityNot monotonic
2023-09-07T18:30:59.368841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 86025
47.8%
1 60470
33.6%
7 30068
 
16.7%
2 3407
 
1.9%
3 34
 
< 0.1%
ValueCountFrequency (%)
1 60470
33.6%
2 3407
 
1.9%
3 34
 
< 0.1%
7 30068
 
16.7%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 30068
 
16.7%
3 34
 
< 0.1%
2 3407
 
1.9%
1 60470
33.6%

PROBAD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4759616453
Minimum-4
Maximum8
Zeros28049
Zeros (%)15.6%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:59.484869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.769934037
Coefficient of variation (CV)10.02167734
Kurtosis-1.121152047
Mean0.4759616453
Median Absolute Deviation (MAD)4
Skewness0.6322178408
Sum85675
Variance22.75227072
MonotonicityNot monotonic
2023-09-07T18:30:59.600410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
8 45065
25.0%
1 30543
17.0%
0 28049
 
15.6%
ValueCountFrequency (%)
-4 76347
42.4%
0 28049
 
15.6%
1 30543
17.0%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 30543
17.0%
0 28049
 
15.6%
-4 76347
42.4%

PROBADIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.569520677
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:59.713482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median1
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.306524569
Coefficient of variation (CV)3.380984173
Kurtosis-1.774523545
Mean1.569520677
Median Absolute Deviation (MAD)5
Skewness0.1219274979
Sum282520
Variance28.159203
MonotonicityNot monotonic
2023-09-07T18:30:59.824998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
8 45065
25.0%
1 30041
 
16.7%
7 28049
 
15.6%
2 502
 
0.3%
ValueCountFrequency (%)
-4 76347
42.4%
1 30041
 
16.7%
2 502
 
0.3%
7 28049
 
15.6%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 28049
 
15.6%
2 502
 
0.3%
1 30041
 
16.7%
-4 76347
42.4%

POSSAD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3590475767
Minimum-4
Maximum8
Zeros49094
Zeros (%)27.3%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:30:59.929520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.767911583
Coefficient of variation (CV)13.27933091
Kurtosis-1.052294414
Mean0.3590475767
Median Absolute Deviation (MAD)4
Skewness0.706329797
Sum64630
Variance22.73298087
MonotonicityNot monotonic
2023-09-07T18:31:00.051071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
0 49094
27.3%
8 45065
25.0%
1 9498
 
5.3%
ValueCountFrequency (%)
-4 76347
42.4%
0 49094
27.3%
1 9498
 
5.3%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 9498
 
5.3%
0 49094
27.3%
-4 76347
42.4%

POSSADIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.27789938
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:00.161594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.573719305
Coefficient of variation (CV)2.44686809
Kurtosis-1.898647269
Mean2.27789938
Median Absolute Deviation (MAD)1
Skewness-0.1698483858
Sum410031
Variance31.06634689
MonotonicityNot monotonic
2023-09-07T18:31:00.282688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
7 49094
27.3%
8 45065
25.0%
1 7755
 
4.3%
2 1743
 
1.0%
ValueCountFrequency (%)
-4 76347
42.4%
1 7755
 
4.3%
2 1743
 
1.0%
7 49094
27.3%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 49094
27.3%
2 1743
 
1.0%
1 7755
 
4.3%
-4 76347
42.4%

NACCLBDE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.862358614
Minimum0
Maximum8
Zeros86939
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:00.395201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.963252505
Coefficient of variation (CV)1.026122352
Kurtosis-1.985984798
Mean3.862358614
Median Absolute Deviation (MAD)1
Skewness0.08204780178
Sum695240
Variance15.70737042
MonotonicityNot monotonic
2023-09-07T18:31:00.515753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 86939
48.3%
8 86025
47.8%
1 7040
 
3.9%
ValueCountFrequency (%)
0 86939
48.3%
1 7040
 
3.9%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
1 7040
 
3.9%
0 86939
48.3%

NACCLBDP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.255249883
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:00.624271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.300216258
Coefficient of variation (CV)0.1792104034
Kurtosis14.88686049
Mean7.255249883
Median Absolute Deviation (MAD)1
Skewness-3.738263841
Sum1305974
Variance1.690562318
MonotonicityNot monotonic
2023-09-07T18:31:00.742833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 86939
48.3%
8 86025
47.8%
1 5049
 
2.8%
2 1821
 
1.0%
3 170
 
0.1%
ValueCountFrequency (%)
1 5049
 
2.8%
2 1821
 
1.0%
3 170
 
0.1%
7 86939
48.3%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 86939
48.3%
3 170
 
0.1%
2 1821
 
1.0%
1 5049
 
2.8%

PARK
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01979956001
Minimum0
Maximum1
Zeros176440
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:00.862360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1393113249
Coefficient of variation (CV)7.036081855
Kurtosis45.52767029
Mean0.01979956001
Median Absolute Deviation (MAD)0
Skewness6.89399481
Sum3564
Variance0.01940764525
MonotonicityNot monotonic
2023-09-07T18:31:00.976401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176440
98.0%
1 3564
 
2.0%
ValueCountFrequency (%)
0 176440
98.0%
1 3564
 
2.0%
ValueCountFrequency (%)
1 3564
 
2.0%
0 176440
98.0%

MSA
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.303304371
Minimum-4
Maximum1
Zeros76323
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:01.082922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977041938
Coefficient of variation (CV)-0.858350274
Kurtosis-1.905483584
Mean-2.303304371
Median Absolute Deviation (MAD)0
Skewness0.3071148257
Sum-414604
Variance3.908694825
MonotonicityNot monotonic
2023-09-07T18:31:01.190449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76323
42.4%
1 24
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76323
42.4%
1 24
 
< 0.1%
ValueCountFrequency (%)
1 24
 
< 0.1%
0 76323
42.4%
-4 103657
57.6%

MSAIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.892607942
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:01.290972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.710448113
Coefficient of variation (CV)6.397487456
Kurtosis-1.886534842
Mean0.892607942
Median Absolute Deviation (MAD)0
Skewness0.3169475809
Sum160673
Variance32.60921765
MonotonicityNot monotonic
2023-09-07T18:31:01.400528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35371
 
19.7%
1 10
 
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 10
 
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
7 35371
 
19.7%
ValueCountFrequency (%)
8 40960
22.8%
7 35371
19.7%
3 2
 
< 0.1%
2 4
 
< 0.1%
1 10
 
< 0.1%

PSP
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004122130619
Minimum0
Maximum1
Zeros179262
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:01.511049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06407153396
Coefficient of variation (CV)15.54330512
Kurtosis237.6037643
Mean0.004122130619
Median Absolute Deviation (MAD)0
Skewness15.47905438
Sum742
Variance0.004105161464
MonotonicityNot monotonic
2023-09-07T18:31:01.622589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179262
99.6%
1 742
 
0.4%
ValueCountFrequency (%)
0 179262
99.6%
1 742
 
0.4%
ValueCountFrequency (%)
1 742
 
0.4%
0 179262
99.6%

PSPIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.455100998
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:01.729084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.634511704
Coefficient of variation (CV)0.08511108088
Kurtosis34.68770442
Mean7.455100998
Median Absolute Deviation (MAD)0
Skewness-3.649654
Sum1341948
Variance0.4026051025
MonotonicityNot monotonic
2023-09-07T18:31:01.844600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93264
51.8%
8 86025
47.8%
1 541
 
0.3%
2 163
 
0.1%
3 11
 
< 0.1%
ValueCountFrequency (%)
1 541
 
0.3%
2 163
 
0.1%
3 11
 
< 0.1%
7 93264
51.8%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93264
51.8%
3 11
 
< 0.1%
2 163
 
0.1%
1 541
 
0.3%

CORT
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005622097287
Minimum0
Maximum1
Zeros178992
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:01.961123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07476978244
Coefficient of variation (CV)13.29926869
Kurtosis172.8800545
Mean0.005622097287
Median Absolute Deviation (MAD)0
Skewness13.22414964
Sum1012
Variance0.005590520367
MonotonicityNot monotonic
2023-09-07T18:31:02.079830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178992
99.4%
1 1012
 
0.6%
ValueCountFrequency (%)
0 178992
99.4%
1 1012
 
0.6%
ValueCountFrequency (%)
1 1012
 
0.6%
0 178992
99.4%

CORTIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.446967845
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:02.195351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6750365753
Coefficient of variation (CV)0.09064582919
Kurtosis35.87923494
Mean7.446967845
Median Absolute Deviation (MAD)0
Skewness-4.055648727
Sum1340484
Variance0.4556743779
MonotonicityNot monotonic
2023-09-07T18:31:02.309869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93002
51.7%
8 86025
47.8%
1 689
 
0.4%
2 283
 
0.2%
3 5
 
< 0.1%
ValueCountFrequency (%)
1 689
 
0.4%
2 283
 
0.2%
3 5
 
< 0.1%
7 93002
51.7%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93002
51.7%
3 5
 
< 0.1%
2 283
 
0.2%
1 689
 
0.4%

FTLDMO
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.302815493
Minimum-4
Maximum1
Zeros76235
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:02.422376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977734954
Coefficient of variation (CV)-0.8588334411
Kurtosis-1.904415964
Mean-2.302815493
Median Absolute Deviation (MAD)0
Skewness0.307556238
Sum-414516
Variance3.911435549
MonotonicityNot monotonic
2023-09-07T18:31:02.533912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76235
42.4%
1 112
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76235
42.4%
1 112
 
0.1%
ValueCountFrequency (%)
1 112
 
0.1%
0 76235
42.4%
-4 103657
57.6%

FTLDMOIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8896580076
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:02.636439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.708819014
Coefficient of variation (CV)6.416869139
Kurtosis-1.885262219
Mean0.8896580076
Median Absolute Deviation (MAD)0
Skewness0.3181571774
Sum160142
Variance32.59061453
MonotonicityNot monotonic
2023-09-07T18:31:02.748954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35281
 
19.6%
1 90
 
< 0.1%
2 15
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 90
 
< 0.1%
2 15
 
< 0.1%
3 1
 
< 0.1%
7 35281
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35281
19.6%
3 1
 
< 0.1%
2 15
 
< 0.1%
1 90
 
< 0.1%

FTLDNOS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.287971378
Minimum-4
Maximum1
Zeros73563
Zeros (%)40.9%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:02.857468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.998606087
Coefficient of variation (CV)-0.8735275737
Kurtosis-1.87475945
Mean-2.287971378
Median Absolute Deviation (MAD)0
Skewness0.3200255185
Sum-411844
Variance3.994426291
MonotonicityNot monotonic
2023-09-07T18:31:02.968994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 73563
40.9%
1 2784
 
1.5%
ValueCountFrequency (%)
-4 103657
57.6%
0 73563
40.9%
1 2784
 
1.5%
ValueCountFrequency (%)
1 2784
 
1.5%
0 73563
40.9%
-4 103657
57.6%

FTLDNOIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8018099598
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:03.072511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.659669442
Coefficient of variation (CV)7.058617036
Kurtosis-1.845566308
Mean0.8018099598
Median Absolute Deviation (MAD)0
Skewness0.3544777212
Sum144329
Variance32.03185819
MonotonicityNot monotonic
2023-09-07T18:31:03.184538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 32618
 
18.1%
1 2590
 
1.4%
2 176
 
0.1%
3 3
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 2590
 
1.4%
2 176
 
0.1%
3 3
 
< 0.1%
7 32618
 
18.1%
ValueCountFrequency (%)
8 40960
22.8%
7 32618
18.1%
3 3
 
< 0.1%
2 176
 
0.1%
1 2590
 
1.4%

FTD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3215039666
Minimum-4
Maximum8
Zeros55852
Zeros (%)31.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:03.289059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.766653706
Coefficient of variation (CV)14.82611165
Kurtosis-1.027608637
Mean0.3215039666
Median Absolute Deviation (MAD)4
Skewness0.7304114614
Sum57872
Variance22.72098755
MonotonicityNot monotonic
2023-09-07T18:31:03.396580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
0 55852
31.0%
8 45065
25.0%
1 2740
 
1.5%
ValueCountFrequency (%)
-4 76347
42.4%
0 55852
31.0%
1 2740
 
1.5%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 2740
 
1.5%
0 55852
31.0%
-4 76347
42.4%

FTDIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.495866759
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:03.499144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.639684047
Coefficient of variation (CV)2.259609423
Kurtosis-1.90005161
Mean2.495866759
Median Absolute Deviation (MAD)1
Skewness-0.2575720942
Sum449266
Variance31.80603615
MonotonicityNot monotonic
2023-09-07T18:31:03.608723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
7 55852
31.0%
8 45065
25.0%
1 2310
 
1.3%
2 430
 
0.2%
ValueCountFrequency (%)
-4 76347
42.4%
1 2310
 
1.3%
2 430
 
0.2%
7 55852
31.0%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 55852
31.0%
2 430
 
0.2%
1 2310
 
1.3%
-4 76347
42.4%

PPAPH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3184429235
Minimum-4
Maximum8
Zeros56403
Zeros (%)31.3%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:03.713329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.766538095
Coefficient of variation (CV)14.96826509
Kurtosis-1.025539567
Mean0.3184429235
Median Absolute Deviation (MAD)4
Skewness0.7323814465
Sum57321
Variance22.71988541
MonotonicityNot monotonic
2023-09-07T18:31:03.819889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
0 56403
31.3%
8 45065
25.0%
1 2189
 
1.2%
ValueCountFrequency (%)
-4 76347
42.4%
0 56403
31.3%
1 2189
 
1.2%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 2189
 
1.2%
0 56403
31.3%
-4 76347
42.4%

PPAPHIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.514349681
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:03.924410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.644529482
Coefficient of variation (CV)2.244926203
Kurtosis-1.899190119
Mean2.514349681
Median Absolute Deviation (MAD)1
Skewness-0.2651185251
Sum452593
Variance31.86071307
MonotonicityNot monotonic
2023-09-07T18:31:04.040992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
7 56403
31.3%
8 45065
25.0%
1 1738
 
1.0%
2 451
 
0.3%
ValueCountFrequency (%)
-4 76347
42.4%
1 1738
 
1.0%
2 451
 
0.3%
7 56403
31.3%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 56403
31.3%
2 451
 
0.3%
1 1738
 
1.0%
-4 76347
42.4%

FTLDSUBT
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.103125486
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative135648
Negative (%)75.4%
Memory size1.4 MiB
2023-09-07T18:31:04.149509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.108971617
Coefficient of variation (CV)-4.631360331
Kurtosis-0.5007176601
Mean-1.103125486
Median Absolute Deviation (MAD)0
Skewness1.215510114
Sum-198567
Variance26.10159098
MonotonicityNot monotonic
2023-09-07T18:31:04.266030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 135648
75.4%
8 40893
 
22.7%
9 1536
 
0.9%
2 974
 
0.5%
1 875
 
0.5%
3 78
 
< 0.1%
ValueCountFrequency (%)
-4 135648
75.4%
1 875
 
0.5%
2 974
 
0.5%
3 78
 
< 0.1%
8 40893
 
22.7%
ValueCountFrequency (%)
9 1536
 
0.9%
8 40893
22.7%
3 78
 
< 0.1%
2 974
 
0.5%
1 875
 
0.5%

CVD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.271743961
Minimum-4
Maximum1
Zeros70642
Zeros (%)39.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:04.376591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.021050868
Coefficient of variation (CV)-0.8896472942
Kurtosis-1.847939126
Mean-2.271743961
Median Absolute Deviation (MAD)0
Skewness0.3317221091
Sum-408923
Variance4.084646612
MonotonicityNot monotonic
2023-09-07T18:31:04.485250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 70642
39.2%
1 5705
 
3.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 70642
39.2%
1 5705
 
3.2%
ValueCountFrequency (%)
1 5705
 
3.2%
0 70642
39.2%
-4 103657
57.6%

CVDIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7562054177
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:04.588795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.626005274
Coefficient of variation (CV)7.439784407
Kurtosis-1.821689342
Mean0.7562054177
Median Absolute Deviation (MAD)0
Skewness0.3712147949
Sum136120
Variance31.65193535
MonotonicityNot monotonic
2023-09-07T18:31:04.701288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 30694
 
17.1%
2 2341
 
1.3%
1 1764
 
1.0%
3 588
 
0.3%
ValueCountFrequency (%)
-4 103657
57.6%
1 1764
 
1.0%
2 2341
 
1.3%
3 588
 
0.3%
7 30694
 
17.1%
ValueCountFrequency (%)
8 40960
22.8%
7 30694
17.1%
3 588
 
0.3%
2 2341
 
1.3%
1 1764
 
1.0%

PREVSTK
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.294932335
Minimum-4
Maximum1
Zeros74816
Zeros (%)41.6%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:04.808807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.988859906
Coefficient of variation (CV)-0.866631175
Kurtosis-1.888016644
Mean-2.294932335
Median Absolute Deviation (MAD)0
Skewness0.3143992707
Sum-413097
Variance3.955563725
MonotonicityNot monotonic
2023-09-07T18:31:04.923334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 74816
41.6%
1 1531
 
0.9%
ValueCountFrequency (%)
-4 103657
57.6%
0 74816
41.6%
1 1531
 
0.9%
ValueCountFrequency (%)
1 1531
 
0.9%
0 74816
41.6%
-4 103657
57.6%

STROKDEC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.021055088
Minimum-4
Maximum8
Zeros986
Zeros (%)0.5%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:05.022872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.894278758
Coefficient of variation (CV)5.772733351
Kurtosis-1.880923787
Mean1.021055088
Median Absolute Deviation (MAD)0
Skewness0.3330582779
Sum183794
Variance34.74252208
MonotonicityNot monotonic
2023-09-07T18:31:05.131368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 74723
41.5%
0 986
 
0.5%
1 638
 
0.4%
ValueCountFrequency (%)
-4 103657
57.6%
0 986
 
0.5%
1 638
 
0.4%
8 74723
41.5%
ValueCountFrequency (%)
8 74723
41.5%
1 638
 
0.4%
0 986
 
0.5%
-4 103657
57.6%

STKIMAG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.047210062
Minimum-4
Maximum9
Zeros173
Zeros (%)0.1%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:05.236880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.908434687
Coefficient of variation (CV)5.642072112
Kurtosis-1.888437558
Mean1.047210062
Median Absolute Deviation (MAD)0
Skewness0.3240940768
Sum188502
Variance34.90960044
MonotonicityNot monotonic
2023-09-07T18:31:05.349393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 103657
57.6%
8 74716
41.5%
1 965
 
0.5%
9 493
 
0.3%
0 173
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 173
 
0.1%
1 965
 
0.5%
8 74716
41.5%
9 493
 
0.3%
ValueCountFrequency (%)
9 493
 
0.3%
8 74716
41.5%
1 965
 
0.5%
0 173
 
0.1%
-4 103657
57.6%

INFNETW
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.302937712
Minimum-4
Maximum9
Zeros2961
Zeros (%)1.6%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:05.451910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.317504375
Coefficient of variation (CV)4.848661846
Kurtosis-1.833036604
Mean1.302937712
Median Absolute Deviation (MAD)0
Skewness0.3824087879
Sum234534
Variance39.91086152
MonotonicityNot monotonic
2023-09-07T18:31:05.561425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
9 71972
40.0%
0 2961
 
1.6%
1 1414
 
0.8%
ValueCountFrequency (%)
-4 103657
57.6%
0 2961
 
1.6%
1 1414
 
0.8%
9 71972
40.0%
ValueCountFrequency (%)
9 71972
40.0%
1 1414
 
0.8%
0 2961
 
1.6%
-4 103657
57.6%

INFWMH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.300826648
Minimum-4
Maximum9
Zeros3773
Zeros (%)2.1%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:05.672949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q39
95-th percentile9
Maximum9
Range13
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.319481532
Coefficient of variation (CV)4.858050487
Kurtosis-1.833316173
Mean1.300826648
Median Absolute Deviation (MAD)0
Skewness0.383555207
Sum234154
Variance39.93584683
MonotonicityNot monotonic
2023-09-07T18:31:05.781977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
9 72026
40.0%
0 3773
 
2.1%
1 548
 
0.3%
ValueCountFrequency (%)
-4 103657
57.6%
0 3773
 
2.1%
1 548
 
0.3%
9 72026
40.0%
ValueCountFrequency (%)
9 72026
40.0%
1 548
 
0.3%
0 3773
 
2.1%
-4 103657
57.6%

VASC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3152318837
Minimum-4
Maximum8
Zeros56981
Zeros (%)31.7%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:05.888492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.766414703
Coefficient of variation (CV)15.12034457
Kurtosis-1.023359919
Mean0.3152318837
Median Absolute Deviation (MAD)4
Skewness0.7344490451
Sum56743
Variance22.71870912
MonotonicityNot monotonic
2023-09-07T18:31:06.009025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
0 56981
31.7%
8 45065
25.0%
1 1611
 
0.9%
ValueCountFrequency (%)
-4 76347
42.4%
0 56981
31.7%
1 1611
 
0.9%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 1611
 
0.9%
0 56981
31.7%
-4 76347
42.4%

VASCIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.534677007
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:06.112548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.649371056
Coefficient of variation (CV)2.228832723
Kurtosis-1.897845309
Mean2.534677007
Median Absolute Deviation (MAD)1
Skewness-0.273543215
Sum456252
Variance31.91539333
MonotonicityNot monotonic
2023-09-07T18:31:06.221072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
7 56981
31.7%
8 45065
25.0%
1 969
 
0.5%
2 642
 
0.4%
ValueCountFrequency (%)
-4 76347
42.4%
1 969
 
0.5%
2 642
 
0.4%
7 56981
31.7%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 56981
31.7%
2 642
 
0.4%
1 969
 
0.5%
-4 76347
42.4%

VASCPS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6244250128
Minimum-4
Maximum8
Zeros41879
Zeros (%)23.3%
Negative100110
Negative (%)55.6%
Memory size1.4 MiB
2023-09-07T18:31:06.323593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.606613959
Coefficient of variation (CV)-7.377369364
Kurtosis-0.4015254644
Mean-0.6244250128
Median Absolute Deviation (MAD)0
Skewness1.084450861
Sum-112399
Variance21.22089217
MonotonicityNot monotonic
2023-09-07T18:31:06.433106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 100110
55.6%
0 41879
23.3%
8 35718
 
19.8%
1 2297
 
1.3%
ValueCountFrequency (%)
-4 100110
55.6%
0 41879
23.3%
1 2297
 
1.3%
8 35718
 
19.8%
ValueCountFrequency (%)
8 35718
 
19.8%
1 2297
 
1.3%
0 41879
23.3%
-4 100110
55.6%

VASCPSIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.002983267
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative100243
Negative (%)55.7%
Memory size1.4 MiB
2023-09-07T18:31:06.536618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.656984569
Coefficient of variation (CV)5.64015847
Kurtosis-1.901983581
Mean1.002983267
Median Absolute Deviation (MAD)0
Skewness0.2666100158
Sum180541
Variance32.00147441
MonotonicityNot monotonic
2023-09-07T18:31:06.928688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 100243
55.7%
7 41746
23.2%
8 35718
 
19.8%
2 1250
 
0.7%
1 1047
 
0.6%
ValueCountFrequency (%)
-4 100243
55.7%
1 1047
 
0.6%
2 1250
 
0.7%
7 41746
23.2%
8 35718
 
19.8%
ValueCountFrequency (%)
8 35718
 
19.8%
7 41746
23.2%
2 1250
 
0.7%
1 1047
 
0.6%
-4 100243
55.7%

STROKE
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.672718384
Minimum-4
Maximum1
Zeros99365
Zeros (%)55.2%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:07.035224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.003029856
Coefficient of variation (CV)-1.197469864
Kurtosis-1.882994465
Mean-1.672718384
Median Absolute Deviation (MAD)0
Skewness-0.2871399567
Sum-301096
Variance4.012128606
MonotonicityNot monotonic
2023-09-07T18:31:07.142718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 99365
55.2%
-4 76347
42.4%
1 4292
 
2.4%
ValueCountFrequency (%)
-4 76347
42.4%
0 99365
55.2%
1 4292
 
2.4%
ValueCountFrequency (%)
1 4292
 
2.4%
0 99365
55.2%
-4 76347
42.4%

STROKIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.498838915
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:07.244236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.632583569
Coefficient of variation (CV)2.254080299
Kurtosis-1.895172233
Mean2.498838915
Median Absolute Deviation (MAD)1
Skewness-0.261384873
Sum449801
Variance31.72599766
MonotonicityNot monotonic
2023-09-07T18:31:07.358756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 76347
42.4%
7 55336
30.7%
8 45065
25.0%
2 1921
 
1.1%
3 1070
 
0.6%
1 265
 
0.1%
ValueCountFrequency (%)
-4 76347
42.4%
1 265
 
0.1%
2 1921
 
1.1%
3 1070
 
0.6%
7 55336
30.7%
ValueCountFrequency (%)
8 45065
25.0%
7 55336
30.7%
3 1070
 
0.6%
2 1921
 
1.1%
1 265
 
0.1%

ESSTREM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.296071198
Minimum-4
Maximum1
Zeros75021
Zeros (%)41.7%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:07.465285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.987258488
Coefficient of variation (CV)-0.8655038615
Kurtosis-1.890292775
Mean-2.296071198
Median Absolute Deviation (MAD)0
Skewness0.3134421517
Sum-413302
Variance3.9491963
MonotonicityNot monotonic
2023-09-07T18:31:07.575801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 75021
41.7%
1 1326
 
0.7%
ValueCountFrequency (%)
-4 103657
57.6%
0 75021
41.7%
1 1326
 
0.7%
ValueCountFrequency (%)
1 1326
 
0.7%
0 75021
41.7%
-4 103657
57.6%

ESSTREIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8774471678
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:07.677321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.699727588
Coefficient of variation (CV)6.495807152
Kurtosis-1.879520012
Mean0.8774471678
Median Absolute Deviation (MAD)0
Skewness0.3223717667
Sum157944
Variance32.48689458
MonotonicityNot monotonic
2023-09-07T18:31:07.790413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 34711
 
19.3%
3 571
 
0.3%
2 97
 
0.1%
1 8
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 8
 
< 0.1%
2 97
 
0.1%
3 571
 
0.3%
7 34711
 
19.3%
ValueCountFrequency (%)
8 40960
22.8%
7 34711
19.3%
3 571
 
0.3%
2 97
 
0.1%
1 8
 
< 0.1%

DOWNS
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005333214817
Minimum0
Maximum1
Zeros179908
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:07.899521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02308765928
Coefficient of variation (CV)43.29032314
Kurtosis1870.094179
Mean0.0005333214817
Median Absolute Deviation (MAD)0
Skewness43.26746353
Sum96
Variance0.0005330400112
MonotonicityNot monotonic
2023-09-07T18:31:08.021048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179908
99.9%
1 96
 
0.1%
ValueCountFrequency (%)
0 179908
99.9%
1 96
 
0.1%
ValueCountFrequency (%)
1 96
 
0.1%
0 179908
99.9%

DOWNSIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.476594965
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:08.129565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5076504783
Coefficient of variation (CV)0.06789861972
Kurtosis2.183582719
Mean7.476594965
Median Absolute Deviation (MAD)0
Skewness-0.2748661543
Sum1345817
Variance0.2577090081
MonotonicityNot monotonic
2023-09-07T18:31:08.242080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93934
52.2%
8 86025
47.8%
2 30
 
< 0.1%
1 13
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
1 13
 
< 0.1%
2 30
 
< 0.1%
3 2
 
< 0.1%
7 93934
52.2%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93934
52.2%
3 2
 
< 0.1%
2 30
 
< 0.1%
1 13
 
< 0.1%

HUNT
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.666518522 × 10-5
Minimum0
Maximum1
Zeros179992
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:08.359615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.008164625607
Coefficient of variation (CV)122.4721056
Kurtosis14995.74997
Mean6.666518522 × 10-5
Median Absolute Deviation (MAD)0
Skewness122.4646208
Sum12
Variance6.66611113 × 10-5
MonotonicityNot monotonic
2023-09-07T18:31:08.471699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179992
> 99.9%
1 12
 
< 0.1%
ValueCountFrequency (%)
0 179992
> 99.9%
1 12
 
< 0.1%
ValueCountFrequency (%)
1 12
 
< 0.1%
0 179992
> 99.9%

HUNTIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.477656052
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:08.577216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.501178495
Coefficient of variation (CV)0.06702347521
Kurtosis-0.9604890898
Mean7.477656052
Median Absolute Deviation (MAD)0
Skewness0.005923654675
Sum1346008
Variance0.2511798839
MonotonicityNot monotonic
2023-09-07T18:31:08.691245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93971
52.2%
8 86025
47.8%
1 6
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
1 6
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
7 93971
52.2%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93971
52.2%
3 1
 
< 0.1%
2 1
 
< 0.1%
1 6
 
< 0.1%

PRION
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001072198396
Minimum0
Maximum1
Zeros179811
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:08.808785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03272697261
Coefficient of variation (CV)30.52324341
Kurtosis927.6900875
Mean0.001072198396
Median Absolute Deviation (MAD)0
Skewness30.4906507
Sum193
Variance0.001071054736
MonotonicityNot monotonic
2023-09-07T18:31:08.919295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179811
99.9%
1 193
 
0.1%
ValueCountFrequency (%)
0 179811
99.9%
1 193
 
0.1%
ValueCountFrequency (%)
1 193
 
0.1%
0 179811
99.9%

PRIONIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.47178396
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:09.028814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5397675255
Coefficient of variation (CV)0.07224078324
Kurtosis17.89171708
Mean7.47178396
Median Absolute Deviation (MAD)0
Skewness-1.602971269
Sum1344951
Variance0.2913489816
MonotonicityNot monotonic
2023-09-07T18:31:09.142334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93791
52.1%
8 86025
47.8%
1 163
 
0.1%
2 24
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
1 163
 
0.1%
2 24
 
< 0.1%
3 1
 
< 0.1%
7 93791
52.1%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93791
52.1%
3 1
 
< 0.1%
2 24
 
< 0.1%
1 163
 
0.1%

BRNINJ
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01627186063
Minimum0
Maximum1
Zeros177075
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:09.260856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265194693
Coefficient of variation (CV)7.775353549
Kurtosis56.47392998
Mean0.01627186063
Median Absolute Deviation (MAD)0
Skewness7.646783801
Sum2929
Variance0.0160071761
MonotonicityNot monotonic
2023-09-07T18:31:09.373392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177075
98.4%
1 2929
 
1.6%
ValueCountFrequency (%)
0 177075
98.4%
1 2929
 
1.6%
ValueCountFrequency (%)
1 2929
 
1.6%
0 177075
98.4%

BRNINJIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.420673985
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:09.479917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7618565137
Coefficient of variation (CV)0.1026667544
Kurtosis26.28424408
Mean7.420673985
Median Absolute Deviation (MAD)0
Skewness-3.901942881
Sum1335751
Variance0.5804253475
MonotonicityNot monotonic
2023-09-07T18:31:09.599948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 91820
51.0%
8 86025
47.8%
2 896
 
0.5%
3 878
 
0.5%
1 385
 
0.2%
ValueCountFrequency (%)
1 385
 
0.2%
2 896
 
0.5%
3 878
 
0.5%
7 91820
51.0%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 91820
51.0%
3 878
 
0.5%
2 896
 
0.5%
1 385
 
0.2%

BRNINCTE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.036521411
Minimum-4
Maximum9
Zeros1025
Zeros (%)0.6%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:09.712464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.904140417
Coefficient of variation (CV)5.696110429
Kurtosis-1.886483504
Mean1.036521411
Median Absolute Deviation (MAD)0
Skewness0.3277582705
Sum186578
Variance34.85887406
MonotonicityNot monotonic
2023-09-07T18:31:09.828980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 103657
57.6%
8 74940
41.6%
0 1025
 
0.6%
1 219
 
0.1%
9 163
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 1025
 
0.6%
1 219
 
0.1%
8 74940
41.6%
9 163
 
0.1%
ValueCountFrequency (%)
9 163
 
0.1%
8 74940
41.6%
1 219
 
0.1%
0 1025
 
0.6%
-4 103657
57.6%

HYCEPH
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003399924446
Minimum0
Maximum1
Zeros179392
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:09.938495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05820982549
Coefficient of variation (CV)17.12091737
Kurtosis289.1356592
Mean0.003399924446
Median Absolute Deviation (MAD)0
Skewness17.06260375
Sum612
Variance0.003388383784
MonotonicityNot monotonic
2023-09-07T18:31:10.063011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179392
99.7%
1 612
 
0.3%
ValueCountFrequency (%)
0 179392
99.7%
1 612
 
0.3%
ValueCountFrequency (%)
1 612
 
0.3%
0 179392
99.7%

HYCEPHIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.462145286
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:10.169541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5889350909
Coefficient of variation (CV)0.07892302661
Kurtosis24.78192071
Mean7.462145286
Median Absolute Deviation (MAD)0
Skewness-2.642432732
Sum1343216
Variance0.3468445413
MonotonicityNot monotonic
2023-09-07T18:31:10.288546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93429
51.9%
8 86025
47.8%
2 317
 
0.2%
1 160
 
0.1%
3 73
 
< 0.1%
ValueCountFrequency (%)
1 160
 
0.1%
2 317
 
0.2%
3 73
 
< 0.1%
7 93429
51.9%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93429
51.9%
3 73
 
< 0.1%
2 317
 
0.2%
1 160
 
0.1%

EPILEP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.302287727
Minimum-4
Maximum1
Zeros76140
Zeros (%)42.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:10.404131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.978482688
Coefficient of variation (CV)-0.8593550951
Kurtosis-1.903270192
Mean-2.302287727
Median Absolute Deviation (MAD)0
Skewness0.3080304935
Sum-414421
Variance3.914393749
MonotonicityNot monotonic
2023-09-07T18:31:10.514644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76140
42.3%
1 207
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76140
42.3%
1 207
 
0.1%
ValueCountFrequency (%)
1 207
 
0.1%
0 76140
42.3%
-4 103657
57.6%

EPILEPIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8885024777
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:10.616167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.707771753
Coefficient of variation (CV)6.424035831
Kurtosis-1.884674499
Mean0.8885024777
Median Absolute Deviation (MAD)0
Skewness0.3184985141
Sum159934
Variance32.57865838
MonotonicityNot monotonic
2023-09-07T18:31:10.727703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35213
 
19.6%
2 73
 
< 0.1%
3 72
 
< 0.1%
1 29
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 29
 
< 0.1%
2 73
 
< 0.1%
3 72
 
< 0.1%
7 35213
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35213
19.6%
3 72
 
< 0.1%
2 73
 
< 0.1%
1 29
 
< 0.1%

NEOP
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0015055221
Minimum0
Maximum1
Zeros179733
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:10.843242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03877194674
Coefficient of variation (CV)25.75315683
Kurtosis659.241255
Mean0.0015055221
Median Absolute Deviation (MAD)0
Skewness25.71446928
Sum271
Variance0.001503263854
MonotonicityNot monotonic
2023-09-07T18:31:10.954805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179733
99.8%
1 271
 
0.2%
ValueCountFrequency (%)
0 179733
99.8%
1 271
 
0.2%
ValueCountFrequency (%)
1 271
 
0.2%
0 179733
99.8%

NEOPIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.472756161
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:11.062326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5282284814
Coefficient of variation (CV)0.07068723641
Kurtosis9.013267475
Mean7.472756161
Median Absolute Deviation (MAD)0
Skewness-0.9790492379
Sum1345126
Variance0.2790253285
MonotonicityNot monotonic
2023-09-07T18:31:11.174850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93780
52.1%
8 86025
47.8%
3 102
 
0.1%
2 63
 
< 0.1%
1 34
 
< 0.1%
ValueCountFrequency (%)
1 34
 
< 0.1%
2 63
 
< 0.1%
3 102
 
0.1%
7 93780
52.1%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93780
52.1%
3 102
 
0.1%
2 63
 
< 0.1%
1 34
 
< 0.1%

NEOPSTAT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.085642541
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:11.290948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.928211415
Coefficient of variation (CV)5.46055556
Kurtosis-1.904279673
Mean1.085642541
Median Absolute Deviation (MAD)0
Skewness0.3084817866
Sum195420
Variance35.14369058
MonotonicityNot monotonic
2023-09-07T18:31:11.398462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 76242
42.4%
1 98
 
0.1%
2 7
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 98
 
0.1%
2 7
 
< 0.1%
8 76242
42.4%
ValueCountFrequency (%)
8 76242
42.4%
2 7
 
< 0.1%
1 98
 
0.1%
-4 103657
57.6%

HIV
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.303282149
Minimum-4
Maximum1
Zeros76319
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:11.510982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977073447
Coefficient of variation (CV)-0.8583722352
Kurtosis-1.905434925
Mean-2.303282149
Median Absolute Deviation (MAD)0
Skewness0.3071349339
Sum-414600
Variance3.908819414
MonotonicityNot monotonic
2023-09-07T18:31:11.618523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76319
42.4%
1 28
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76319
42.4%
1 28
 
< 0.1%
ValueCountFrequency (%)
1 28
 
< 0.1%
0 76319
42.4%
-4 103657
57.6%

HIVIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8924690562
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:11.720076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.710336051
Coefficient of variation (CV)6.398357468
Kurtosis-1.886466912
Mean0.8924690562
Median Absolute Deviation (MAD)0
Skewness0.3169933089
Sum160648
Variance32.60793782
MonotonicityNot monotonic
2023-09-07T18:31:11.834595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35364
 
19.6%
2 11
 
< 0.1%
3 7
 
< 0.1%
1 5
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 5
 
< 0.1%
2 11
 
< 0.1%
3 7
 
< 0.1%
7 35364
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35364
19.6%
3 7
 
< 0.1%
2 11
 
< 0.1%
1 5
 
< 0.1%

OTHCOG
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.290432435
Minimum-4
Maximum1
Zeros74006
Zeros (%)41.1%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:11.940140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.995168526
Coefficient of variation (CV)-0.8710881386
Kurtosis-1.879319939
Mean-2.290432435
Median Absolute Deviation (MAD)0
Skewness0.3180797915
Sum-412287
Variance3.980697448
MonotonicityNot monotonic
2023-09-07T18:31:12.053635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 74006
41.1%
1 2341
 
1.3%
ValueCountFrequency (%)
-4 103657
57.6%
0 74006
41.1%
1 2341
 
1.3%
ValueCountFrequency (%)
1 2341
 
1.3%
0 74006
41.1%
-4 103657
57.6%

OTHCOGIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8217872936
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:12.156152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.670073322
Coefficient of variation (CV)6.899684828
Kurtosis-1.854693342
Mean0.8217872936
Median Absolute Deviation (MAD)0
Skewness0.3458936671
Sum147925
Variance32.14973147
MonotonicityNot monotonic
2023-09-07T18:31:12.268762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 33155
 
18.4%
1 1758
 
1.0%
2 392
 
0.2%
3 82
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 1758
 
1.0%
2 392
 
0.2%
3 82
 
< 0.1%
7 33155
 
18.4%
ValueCountFrequency (%)
8 40960
22.8%
7 33155
18.4%
3 82
 
< 0.1%
2 392
 
0.2%
1 1758
 
1.0%

DEP
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1581298193
Minimum0
Maximum1
Zeros151540
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:12.376281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3648636994
Coefficient of variation (CV)2.307368091
Kurtosis1.511824853
Mean0.1581298193
Median Absolute Deviation (MAD)0
Skewness1.873981872
Sum28464
Variance0.1331255191
MonotonicityNot monotonic
2023-09-07T18:31:12.491946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 151540
84.2%
1 28464
 
15.8%
ValueCountFrequency (%)
0 151540
84.2%
1 28464
 
15.8%
ValueCountFrequency (%)
1 28464
 
15.8%
0 151540
84.2%

DEPIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.93179596
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:12.597483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.754429988
Coefficient of variation (CV)0.253098908
Kurtosis3.334513001
Mean6.93179596
Median Absolute Deviation (MAD)1
Skewness-2.140363598
Sum1247751
Variance3.078024583
MonotonicityNot monotonic
2023-09-07T18:31:12.710000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 86025
47.8%
7 72968
40.5%
2 9890
 
5.5%
3 8937
 
5.0%
1 2184
 
1.2%
ValueCountFrequency (%)
1 2184
 
1.2%
2 9890
 
5.5%
3 8937
 
5.0%
7 72968
40.5%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 72968
40.5%
3 8937
 
5.0%
2 9890
 
5.5%
1 2184
 
1.2%

DEPTREAT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.693340148
Minimum-4
Maximum8
Zeros2471
Zeros (%)1.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:12.824514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.693935913
Coefficient of variation (CV)8.21232685
Kurtosis-1.7322903
Mean0.693340148
Median Absolute Deviation (MAD)0
Skewness0.4582405001
Sum124804
Variance32.42090619
MonotonicityNot monotonic
2023-09-07T18:31:12.934055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103657
57.6%
8 66508
36.9%
1 7368
 
4.1%
0 2471
 
1.4%
ValueCountFrequency (%)
-4 103657
57.6%
0 2471
 
1.4%
1 7368
 
4.1%
8 66508
36.9%
ValueCountFrequency (%)
8 66508
36.9%
1 7368
 
4.1%
0 2471
 
1.4%
-4 103657
57.6%

BIPOLDX
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.30123775
Minimum-4
Maximum1
Zeros75951
Zeros (%)42.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:13.041547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.979969028
Coefficient of variation (CV)-0.8603930767
Kurtosis-1.9010115
Mean-2.30123775
Median Absolute Deviation (MAD)0
Skewness0.3089670376
Sum-414232
Variance3.920277352
MonotonicityNot monotonic
2023-09-07T18:31:13.153070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 75951
42.2%
1 396
 
0.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 75951
42.2%
1 396
 
0.2%
ValueCountFrequency (%)
1 396
 
0.2%
0 75951
42.2%
-4 103657
57.6%

BIPOLDIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8853803249
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:13.256595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.705930392
Coefficient of variation (CV)6.444609431
Kurtosis-1.883294762
Mean0.8853803249
Median Absolute Deviation (MAD)0
Skewness0.3197437105
Sum159372
Variance32.55764163
MonotonicityNot monotonic
2023-09-07T18:31:13.367115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35109
 
19.5%
2 109
 
0.1%
3 85
 
< 0.1%
1 84
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 84
 
< 0.1%
2 109
 
0.1%
3 85
 
< 0.1%
7 35109
 
19.5%
ValueCountFrequency (%)
8 40960
22.8%
7 35109
19.5%
3 85
 
< 0.1%
2 109
 
0.1%
1 84
 
< 0.1%

SCHIZOP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.303009933
Minimum-4
Maximum1
Zeros76270
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:13.475639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977459366
Coefficient of variation (CV)-0.8586412668
Kurtosis-1.904839862
Mean-2.303009933
Median Absolute Deviation (MAD)0
Skewness0.3073809188
Sum-414551
Variance3.910345545
MonotonicityNot monotonic
2023-09-07T18:31:13.581155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76270
42.4%
1 77
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76270
42.4%
1 77
 
< 0.1%
ValueCountFrequency (%)
1 77
 
< 0.1%
0 76270
42.4%
-4 103657
57.6%

SCHIZOIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8911913069
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:13.681673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.709575327
Coefficient of variation (CV)6.406677537
Kurtosis-1.885901699
Mean0.8911913069
Median Absolute Deviation (MAD)0
Skewness0.3175007402
Sum160418
Variance32.59925042
MonotonicityNot monotonic
2023-09-07T18:31:13.796705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35321
 
19.6%
2 33
 
< 0.1%
1 23
 
< 0.1%
3 10
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 23
 
< 0.1%
2 33
 
< 0.1%
3 10
 
< 0.1%
7 35321
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35321
19.6%
3 10
 
< 0.1%
2 33
 
< 0.1%
1 23
 
< 0.1%

ANXIET
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.282310393
Minimum-4
Maximum1
Zeros72544
Zeros (%)40.3%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:13.903220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.006479442
Coefficient of variation (CV)-0.8791439795
Kurtosis-1.864776624
Mean-2.282310393
Median Absolute Deviation (MAD)0
Skewness0.3243255433
Sum-410825
Variance4.025959749
MonotonicityNot monotonic
2023-09-07T18:31:14.014266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 72544
40.3%
1 3803
 
2.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 72544
40.3%
1 3803
 
2.1%
ValueCountFrequency (%)
1 3803
 
2.1%
0 72544
40.3%
-4 103657
57.6%

ANXIETIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8280704873
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:14.121792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.668120766
Coefficient of variation (CV)6.84497377
Kurtosis-1.856362869
Mean0.8280704873
Median Absolute Deviation (MAD)0
Skewness0.3415345392
Sum149056
Variance32.12759301
MonotonicityNot monotonic
2023-09-07T18:31:14.236319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 32922
 
18.3%
2 1443
 
0.8%
3 821
 
0.5%
1 201
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 201
 
0.1%
2 1443
 
0.8%
3 821
 
0.5%
7 32922
 
18.3%
ValueCountFrequency (%)
8 40960
22.8%
7 32922
18.3%
3 821
 
0.5%
2 1443
 
0.8%
1 201
 
0.1%

DELIR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.303237706
Minimum-4
Maximum1
Zeros76311
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:14.343843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977136462
Coefficient of variation (CV)-0.8584161577
Kurtosis-1.905337644
Mean-2.303237706
Median Absolute Deviation (MAD)0
Skewness0.3071751376
Sum-414592
Variance3.909068588
MonotonicityNot monotonic
2023-09-07T18:31:14.450370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76311
42.4%
1 36
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76311
42.4%
1 36
 
< 0.1%
ValueCountFrequency (%)
1 36
 
< 0.1%
0 76311
42.4%
-4 103657
57.6%

DELIRIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8922357281
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:14.552898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.710178909
Coefficient of variation (CV)6.399854577
Kurtosis-1.88635794
Mean0.8922357281
Median Absolute Deviation (MAD)0
Skewness0.3170811743
Sum160606
Variance32.60614317
MonotonicityNot monotonic
2023-09-07T18:31:14.663429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35355
 
19.6%
2 25
 
< 0.1%
3 6
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 1
 
< 0.1%
2 25
 
< 0.1%
3 6
 
< 0.1%
7 35355
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35355
19.6%
3 6
 
< 0.1%
2 25
 
< 0.1%
1 1
 
< 0.1%

PTSDDX
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.3014933
Minimum-4
Maximum1
Zeros75997
Zeros (%)42.2%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:14.771963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.979607428
Coefficient of variation (CV)-0.8601404259
Kurtosis-1.901558697
Mean-2.3014933
Median Absolute Deviation (MAD)0
Skewness0.308739948
Sum-414278
Variance3.918845567
MonotonicityNot monotonic
2023-09-07T18:31:14.882477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 75997
42.2%
1 350
 
0.2%
ValueCountFrequency (%)
-4 103657
57.6%
0 75997
42.2%
1 350
 
0.2%
ValueCountFrequency (%)
1 350
 
0.2%
0 75997
42.2%
-4 103657
57.6%

PTSDDXIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8876080532
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:14.986540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.707236868
Coefficient of variation (CV)6.429906588
Kurtosis-1.884275656
Mean0.8876080532
Median Absolute Deviation (MAD)0
Skewness0.318854161
Sum159773
Variance32.57255267
MonotonicityNot monotonic
2023-09-07T18:31:15.099062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35183
 
19.5%
2 94
 
0.1%
3 71
 
< 0.1%
1 39
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 39
 
< 0.1%
2 94
 
0.1%
3 71
 
< 0.1%
7 35183
 
19.5%
ValueCountFrequency (%)
8 40960
22.8%
7 35183
19.5%
3 71
 
< 0.1%
2 94
 
0.1%
1 39
 
< 0.1%

OTHPSY
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01228306038
Minimum0
Maximum1
Zeros177793
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:15.212600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1101465124
Coefficient of variation (CV)8.967350894
Kurtosis76.42752739
Mean0.01228306038
Median Absolute Deviation (MAD)0
Skewness8.855883819
Sum2211
Variance0.0121322542
MonotonicityNot monotonic
2023-09-07T18:31:15.322139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177793
98.8%
1 2211
 
1.2%
ValueCountFrequency (%)
0 177793
98.8%
1 2211
 
1.2%
ValueCountFrequency (%)
1 2211
 
1.2%
0 177793
98.8%

OTHPSYIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.437340281
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:15.427656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6975942832
Coefficient of variation (CV)0.09379620359
Kurtosis27.71511791
Mean7.437340281
Median Absolute Deviation (MAD)0
Skewness-3.690837203
Sum1338751
Variance0.486637784
MonotonicityNot monotonic
2023-09-07T18:31:15.542171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 92463
51.4%
8 86025
47.8%
2 636
 
0.4%
3 579
 
0.3%
1 301
 
0.2%
ValueCountFrequency (%)
1 301
 
0.2%
2 636
 
0.4%
3 579
 
0.3%
7 92463
51.4%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 92463
51.4%
3 579
 
0.3%
2 636
 
0.4%
1 301
 
0.2%

ALCDEM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.006877625
Minimum0
Maximum8
Zeros134213
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:15.654671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.464000166
Coefficient of variation (CV)1.726064471
Kurtosis-0.6727803967
Mean2.006877625
Median Absolute Deviation (MAD)0
Skewness1.151460143
Sum361246
Variance11.99929715
MonotonicityNot monotonic
2023-09-07T18:31:16.058801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 134213
74.6%
8 45065
 
25.0%
1 726
 
0.4%
ValueCountFrequency (%)
0 134213
74.6%
1 726
 
0.4%
8 45065
 
25.0%
ValueCountFrequency (%)
8 45065
 
25.0%
1 726
 
0.4%
0 134213
74.6%

ALCDEMIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.458356481
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:16.178323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6077267852
Coefficient of variation (CV)0.08148266803
Kurtosis26.2489048
Mean7.458356481
Median Absolute Deviation (MAD)0
Skewness-2.932881527
Sum1342534
Variance0.3693318455
MonotonicityNot monotonic
2023-09-07T18:31:16.294358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 93295
51.8%
8 86025
47.8%
2 501
 
0.3%
1 141
 
0.1%
3 42
 
< 0.1%
ValueCountFrequency (%)
1 141
 
0.1%
2 501
 
0.3%
3 42
 
< 0.1%
7 93295
51.8%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 93295
51.8%
3 42
 
< 0.1%
2 501
 
0.3%
1 141
 
0.1%

ALCABUSE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.074048354
Minimum-4
Maximum9
Zeros165
Zeros (%)0.1%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:16.404880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q38
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.922247504
Coefficient of variation (CV)5.513948678
Kurtosis-1.900112291
Mean1.074048354
Median Absolute Deviation (MAD)0
Skewness0.3129391214
Sum193333
Variance35.0730155
MonotonicityNot monotonic
2023-09-07T18:31:16.516400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 103657
57.6%
8 75941
42.2%
1 217
 
0.1%
0 165
 
0.1%
9 24
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 165
 
0.1%
1 217
 
0.1%
8 75941
42.2%
9 24
 
< 0.1%
ValueCountFrequency (%)
9 24
 
< 0.1%
8 75941
42.2%
1 217
 
0.1%
0 165
 
0.1%
-4 103657
57.6%

IMPSUB
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.30290438
Minimum-4
Maximum1
Zeros76251
Zeros (%)42.4%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:16.622467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.977608978
Coefficient of variation (CV)-0.8587455891
Kurtosis-1.904609627
Mean-2.30290438
Median Absolute Deviation (MAD)0
Skewness0.3074761318
Sum-414532
Variance3.910937271
MonotonicityNot monotonic
2023-09-07T18:31:16.732983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103657
57.6%
0 76251
42.4%
1 96
 
0.1%
ValueCountFrequency (%)
-4 103657
57.6%
0 76251
42.4%
1 96
 
0.1%
ValueCountFrequency (%)
1 96
 
0.1%
0 76251
42.4%
-4 103657
57.6%

IMPSUBIF
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8906579854
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative103657
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:16.833497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q37
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.709235279
Coefficient of variation (CV)6.410132029
Kurtosis-1.885656313
Mean0.8906579854
Median Absolute Deviation (MAD)0
Skewness0.3177079564
Sum160322
Variance32.59536747
MonotonicityNot monotonic
2023-09-07T18:31:16.948061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103657
57.6%
8 40960
 
22.8%
7 35302
 
19.6%
2 63
 
< 0.1%
1 18
 
< 0.1%
3 4
 
< 0.1%
ValueCountFrequency (%)
-4 103657
57.6%
1 18
 
< 0.1%
2 63
 
< 0.1%
3 4
 
< 0.1%
7 35302
 
19.6%
ValueCountFrequency (%)
8 40960
22.8%
7 35302
19.6%
3 4
 
< 0.1%
2 63
 
< 0.1%
1 18
 
< 0.1%

DYSILL
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01739405791
Minimum0
Maximum1
Zeros176873
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:17.057578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1307348447
Coefficient of variation (CV)7.516063551
Kurtosis52.51009135
Mean0.01739405791
Median Absolute Deviation (MAD)0
Skewness7.383055459
Sum3131
Variance0.01709159961
MonotonicityNot monotonic
2023-09-07T18:31:17.174103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176873
98.3%
1 3131
 
1.7%
ValueCountFrequency (%)
0 176873
98.3%
1 3131
 
1.7%
ValueCountFrequency (%)
1 3131
 
1.7%
0 176873
98.3%

DYSILLIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.401263305
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:17.280618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8516845289
Coefficient of variation (CV)0.115072859
Kurtosis27.45922913
Mean7.401263305
Median Absolute Deviation (MAD)0
Skewness-4.308995607
Sum1332257
Variance0.7253665368
MonotonicityNot monotonic
2023-09-07T18:31:17.391783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 91359
50.8%
8 86025
47.8%
2 1554
 
0.9%
1 881
 
0.5%
3 185
 
0.1%
ValueCountFrequency (%)
1 881
 
0.5%
2 1554
 
0.9%
3 185
 
0.1%
7 91359
50.8%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 91359
50.8%
3 185
 
0.1%
2 1554
 
0.9%
1 881
 
0.5%

MEDS
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008655363214
Minimum0
Maximum1
Zeros178446
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:17.508303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09263096442
Coefficient of variation (CV)10.70214642
Kurtosis110.5471366
Mean0.008655363214
Median Absolute Deviation (MAD)0
Skewness10.60876564
Sum1558
Variance0.00858049557
MonotonicityNot monotonic
2023-09-07T18:31:17.619922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178446
99.1%
1 1558
 
0.9%
ValueCountFrequency (%)
0 178446
99.1%
1 1558
 
0.9%
ValueCountFrequency (%)
1 1558
 
0.9%
0 178446
99.1%

MEDSIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.437473612
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:17.728437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7049419782
Coefficient of variation (CV)0.094782451
Kurtosis29.75207626
Mean7.437473612
Median Absolute Deviation (MAD)0
Skewness-3.886809983
Sum1338775
Variance0.4969431926
MonotonicityNot monotonic
2023-09-07T18:31:17.841959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 92570
51.4%
8 86025
47.8%
2 1088
 
0.6%
1 277
 
0.2%
3 44
 
< 0.1%
ValueCountFrequency (%)
1 277
 
0.2%
2 1088
 
0.6%
3 44
 
< 0.1%
7 92570
51.4%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 92570
51.4%
3 44
 
< 0.1%
2 1088
 
0.6%
1 277
 
0.2%

DEMUN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3200484434
Minimum-4
Maximum8
Zeros56114
Zeros (%)31.2%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:17.954474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median0
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.766598978
Coefficient of variation (CV)14.89336717
Kurtosis-1.026625862
Mean0.3200484434
Median Absolute Deviation (MAD)4
Skewness0.7313480624
Sum57610
Variance22.72046582
MonotonicityNot monotonic
2023-09-07T18:31:18.061991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 76347
42.4%
0 56114
31.2%
8 45065
25.0%
1 2478
 
1.4%
ValueCountFrequency (%)
-4 76347
42.4%
0 56114
31.2%
1 2478
 
1.4%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
1 2478
 
1.4%
0 56114
31.2%
-4 76347
42.4%

DEMUNIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.503127708
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative76347
Negative (%)42.4%
Memory size1.4 MiB
2023-09-07T18:31:18.172062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.642267931
Coefficient of variation (CV)2.254087122
Kurtosis-1.900143915
Mean2.503127708
Median Absolute Deviation (MAD)1
Skewness-0.2603379454
Sum450573
Variance31.83518741
MonotonicityNot monotonic
2023-09-07T18:31:18.284582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 76347
42.4%
7 56114
31.2%
8 45065
25.0%
1 2313
 
1.3%
2 165
 
0.1%
ValueCountFrequency (%)
-4 76347
42.4%
1 2313
 
1.3%
2 165
 
0.1%
7 56114
31.2%
8 45065
25.0%
ValueCountFrequency (%)
8 45065
25.0%
7 56114
31.2%
2 165
 
0.1%
1 2313
 
1.3%
-4 76347
42.4%

COGOTH
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06122641719
Minimum0
Maximum1
Zeros168983
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:18.393610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2397458286
Coefficient of variation (CV)3.915725264
Kurtosis11.39838869
Mean0.06122641719
Median Absolute Deviation (MAD)0
Skewness3.660363649
Sum11021
Variance0.05747806234
MonotonicityNot monotonic
2023-09-07T18:31:18.505122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 168983
93.9%
1 11021
 
6.1%
ValueCountFrequency (%)
0 168983
93.9%
1 11021
 
6.1%
ValueCountFrequency (%)
1 11021
 
6.1%
0 168983
93.9%

COGOTHIF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.237072509
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:18.609643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.300645337
Coefficient of variation (CV)0.1797198156
Kurtosis12.50651638
Mean7.237072509
Median Absolute Deviation (MAD)1
Skewness-3.4376224
Sum1302702
Variance1.691678293
MonotonicityNot monotonic
2023-09-07T18:31:18.726160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 86025
47.8%
7 85583
47.5%
2 3407
 
1.9%
1 3180
 
1.8%
3 1809
 
1.0%
ValueCountFrequency (%)
1 3180
 
1.8%
2 3407
 
1.9%
3 1809
 
1.0%
7 85583
47.5%
8 86025
47.8%
ValueCountFrequency (%)
8 86025
47.8%
7 85583
47.5%
3 1809
 
1.0%
2 3407
 
1.9%
1 3180
 
1.8%

COGOTH2
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5205995422
Minimum-4
Maximum1
Zeros155399
Zeros (%)86.3%
Negative23663
Negative (%)13.1%
Memory size1.4 MiB
2023-09-07T18:31:18.841201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.355562827
Coefficient of variation (CV)-2.603849442
Kurtosis2.733172881
Mean-0.5205995422
Median Absolute Deviation (MAD)0
Skewness-2.166760963
Sum-93710
Variance1.837550579
MonotonicityNot monotonic
2023-09-07T18:31:18.953740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 155399
86.3%
-4 23663
 
13.1%
1 942
 
0.5%
ValueCountFrequency (%)
-4 23663
 
13.1%
0 155399
86.3%
1 942
 
0.5%
ValueCountFrequency (%)
1 942
 
0.5%
0 155399
86.3%
-4 23663
 
13.1%

COGOTH2F
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.572492833
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative14549
Negative (%)8.1%
Memory size1.4 MiB
2023-09-07T18:31:19.056257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q17
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.186456217
Coefficient of variation (CV)0.4848169938
Kurtosis6.828037459
Mean6.572492833
Median Absolute Deviation (MAD)1
Skewness-2.917278111
Sum1183075
Variance10.15350323
MonotonicityNot monotonic
2023-09-07T18:31:19.173823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 86025
47.8%
7 78808
43.8%
-4 14549
 
8.1%
2 357
 
0.2%
3 218
 
0.1%
1 47
 
< 0.1%
ValueCountFrequency (%)
-4 14549
 
8.1%
1 47
 
< 0.1%
2 357
 
0.2%
3 218
 
0.1%
7 78808
43.8%
ValueCountFrequency (%)
8 86025
47.8%
7 78808
43.8%
3 218
 
0.1%
2 357
 
0.2%
1 47
 
< 0.1%

COGOTH3
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5249994445
Minimum-4
Maximum1
Zeros156191
Zeros (%)86.8%
Negative23663
Negative (%)13.1%
Memory size1.4 MiB
2023-09-07T18:31:19.286314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.352238919
Coefficient of variation (CV)-2.575695904
Kurtosis2.754388406
Mean-0.5249994445
Median Absolute Deviation (MAD)0
Skewness-2.179022429
Sum-94502
Variance1.828550094
MonotonicityNot monotonic
2023-09-07T18:31:19.398342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 156191
86.8%
-4 23663
 
13.1%
1 150
 
0.1%
ValueCountFrequency (%)
-4 23663
 
13.1%
0 156191
86.8%
1 150
 
0.1%
ValueCountFrequency (%)
1 150
 
0.1%
0 156191
86.8%
-4 23663
 
13.1%

COGOTH3F
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.586436968
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative14549
Negative (%)8.1%
Memory size1.4 MiB
2023-09-07T18:31:19.503860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q17
median7
Q38
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.177717414
Coefficient of variation (CV)0.4824638009
Kurtosis6.976936364
Mean6.586436968
Median Absolute Deviation (MAD)1
Skewness-2.946737287
Sum1185585
Variance10.09788796
MonotonicityNot monotonic
2023-09-07T18:31:19.620378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 86025
47.8%
7 79336
44.1%
-4 14549
 
8.1%
2 51
 
< 0.1%
3 42
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
-4 14549
 
8.1%
1 1
 
< 0.1%
2 51
 
< 0.1%
3 42
 
< 0.1%
7 79336
44.1%
ValueCountFrequency (%)
8 86025
47.8%
7 79336
44.1%
3 42
 
< 0.1%
2 51
 
< 0.1%
1 1
 
< 0.1%

NACCETPR
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.79060465
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:19.754898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation42.51268657
Coefficient of variation (CV)0.8895615964
Kurtosis-1.946158654
Mean47.79060465
Median Absolute Deviation (MAD)11
Skewness-0.0864485435
Sum8602500
Variance1807.328519
MonotonicityNot monotonic
2023-09-07T18:31:19.895932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 86025
47.8%
1 60470
33.6%
7 6638
 
3.7%
99 6508
 
3.6%
2 5049
 
2.8%
8 4045
 
2.2%
30 3228
 
1.8%
19 2184
 
1.2%
18 1758
 
1.0%
28 881
 
0.5%
Other values (22) 3218
 
1.8%
ValueCountFrequency (%)
1 60470
33.6%
2 5049
 
2.8%
3 10
 
< 0.1%
4 541
 
0.3%
5 689
 
0.4%
ValueCountFrequency (%)
99 6508
 
3.6%
88 86025
47.8%
30 3228
 
1.8%
29 277
 
0.2%
28 881
 
0.5%

NACCADMU
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002672162841
Minimum0
Maximum1
Zeros179523
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:20.012449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05162399822
Coefficient of variation (CV)19.31918124
Kurtosis369.2416593
Mean0.002672162841
Median Absolute Deviation (MAD)0
Skewness19.26752596
Sum481
Variance0.002665037192
MonotonicityNot monotonic
2023-09-07T18:31:20.137992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179523
99.7%
1 481
 
0.3%
ValueCountFrequency (%)
0 179523
99.7%
1 481
 
0.3%
ValueCountFrequency (%)
1 481
 
0.3%
0 179523
99.7%

NACCFTDM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004416568521
Minimum0
Maximum1
Zeros179209
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:20.249509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06631053363
Coefficient of variation (CV)15.01403937
Kurtosis221.4307459
Mean0.004416568521
Median Absolute Deviation (MAD)0
Skewness14.94751771
Sum795
Variance0.004397086871
MonotonicityNot monotonic
2023-09-07T18:31:20.366023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179209
99.6%
1 795
 
0.4%
ValueCountFrequency (%)
0 179209
99.6%
1 795
 
0.4%
ValueCountFrequency (%)
1 795
 
0.4%
0 179209
99.6%

CANCER
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.2089898
Minimum-4
Maximum8
Zeros62668
Zeros (%)34.8%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:20.475168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.133814208
Coefficient of variation (CV)-0.9659683388
Kurtosis-0.8055986928
Mean-2.2089898
Median Absolute Deviation (MAD)0
Skewness0.5419267779
Sum-397627
Variance4.553163073
MonotonicityNot monotonic
2023-09-07T18:31:20.584660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 103658
57.6%
0 62668
34.8%
1 12601
 
7.0%
2 702
 
0.4%
8 375
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 62668
34.8%
1 12601
 
7.0%
2 702
 
0.4%
8 375
 
0.2%
ValueCountFrequency (%)
8 375
 
0.2%
2 702
 
0.4%
1 12601
 
7.0%
0 62668
34.8%
-4 103658
57.6%

DIABET
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.170973978
Minimum-4
Maximum9
Zeros65823
Zeros (%)36.6%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:20.688727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.216387661
Coefficient of variation (CV)-1.020918575
Kurtosis-0.211252384
Mean-2.170973978
Median Absolute Deviation (MAD)0
Skewness0.6885966808
Sum-390784
Variance4.912374265
MonotonicityNot monotonic
2023-09-07T18:31:20.800247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 103658
57.6%
0 65823
36.6%
2 9359
 
5.2%
9 409
 
0.2%
1 408
 
0.2%
3 347
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 65823
36.6%
1 408
 
0.2%
2 9359
 
5.2%
3 347
 
0.2%
ValueCountFrequency (%)
9 409
 
0.2%
3 347
 
0.2%
2 9359
 
5.2%
1 408
 
0.2%
0 65823
36.6%

MYOINF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.276132753
Minimum-4
Maximum8
Zeros73436
Zeros (%)40.8%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:20.908766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.03708039
Coefficient of variation (CV)-0.8949743319
Kurtosis-0.9387758246
Mean-2.276132753
Median Absolute Deviation (MAD)0
Skewness0.4854201909
Sum-409713
Variance4.149696514
MonotonicityNot monotonic
2023-09-07T18:31:21.022350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 73436
40.8%
1 2623
 
1.5%
8 287
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 73436
40.8%
1 2623
 
1.5%
8 287
 
0.2%
ValueCountFrequency (%)
8 287
 
0.2%
1 2623
 
1.5%
0 73436
40.8%
-4 103658
57.6%

CONGHRT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.278182707
Minimum-4
Maximum8
Zeros74246
Zeros (%)41.2%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:21.126867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.039095395
Coefficient of variation (CV)-0.8950534954
Kurtosis-0.7444077837
Mean-2.278182707
Median Absolute Deviation (MAD)0
Skewness0.5179390629
Sum-410082
Variance4.15791003
MonotonicityNot monotonic
2023-09-07T18:31:21.235409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 74246
41.2%
1 1750
 
1.0%
8 350
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 74246
41.2%
1 1750
 
1.0%
8 350
 
0.2%
ValueCountFrequency (%)
8 350
 
0.2%
1 1750
 
1.0%
0 74246
41.2%
-4 103658
57.6%

AFIBRILL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.245138997
Minimum-4
Maximum8
Zeros69614
Zeros (%)38.7%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:21.342925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.097357862
Coefficient of variation (CV)-0.934177289
Kurtosis-0.3110061747
Mean-2.245138997
Median Absolute Deviation (MAD)0
Skewness0.6129043086
Sum-404134
Variance4.398909999
MonotonicityNot monotonic
2023-09-07T18:31:21.453462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 69614
38.7%
1 6194
 
3.4%
8 538
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 69614
38.7%
1 6194
 
3.4%
8 538
 
0.3%
ValueCountFrequency (%)
8 538
 
0.3%
1 6194
 
3.4%
0 69614
38.7%
-4 103658
57.6%

HYPERT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.081159308
Minimum-4
Maximum8
Zeros38599
Zeros (%)21.4%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:21.558049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.281609722
Coefficient of variation (CV)-1.096316709
Kurtosis-1.186008232
Mean-2.081159308
Median Absolute Deviation (MAD)0
Skewness0.4874728479
Sum-374617
Variance5.205742925
MonotonicityNot monotonic
2023-09-07T18:31:21.668612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 38599
 
21.4%
1 37423
 
20.8%
8 324
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 38599
 
21.4%
1 37423
 
20.8%
8 324
 
0.2%
ValueCountFrequency (%)
8 324
 
0.2%
1 37423
 
20.8%
0 38599
 
21.4%
-4 103658
57.6%

ANGINA
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.271388414
Minimum-4
Maximum8
Zeros73646
Zeros (%)40.9%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:21.771175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.055067902
Coefficient of variation (CV)-0.9047628709
Kurtosis-0.4985336168
Mean-2.271388414
Median Absolute Deviation (MAD)0
Skewness0.5648759698
Sum-408859
Variance4.223304082
MonotonicityNot monotonic
2023-09-07T18:31:21.883697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 73646
40.9%
1 2261
 
1.3%
8 439
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 73646
40.9%
1 2261
 
1.3%
8 439
 
0.2%
ValueCountFrequency (%)
8 439
 
0.2%
1 2261
 
1.3%
0 73646
40.9%
-4 103658
57.6%

HYPCHOL
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.042054621
Minimum-4
Maximum8
Zeros35025
Zeros (%)19.5%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:21.986216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.357982855
Coefficient of variation (CV)-1.154710962
Kurtosis-0.4967663272
Mean-2.042054621
Median Absolute Deviation (MAD)0
Skewness0.6312814262
Sum-367578
Variance5.560083146
MonotonicityNot monotonic
2023-09-07T18:31:22.098245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
1 40502
 
22.5%
0 35025
 
19.5%
8 819
 
0.5%
ValueCountFrequency (%)
-4 103658
57.6%
0 35025
 
19.5%
1 40502
 
22.5%
8 819
 
0.5%
ValueCountFrequency (%)
8 819
 
0.5%
1 40502
 
22.5%
0 35025
 
19.5%
-4 103658
57.6%

VB12DEF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.163968578
Minimum-4
Maximum8
Zeros68849
Zeros (%)38.2%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:22.207760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.335238636
Coefficient of variation (CV)-1.079146277
Kurtosis2.611482524
Mean-2.163968578
Median Absolute Deviation (MAD)0
Skewness1.245774888
Sum-389523
Variance5.453339485
MonotonicityNot monotonic
2023-09-07T18:31:22.333274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 68849
38.2%
1 4981
 
2.8%
8 2516
 
1.4%
ValueCountFrequency (%)
-4 103658
57.6%
0 68849
38.2%
1 4981
 
2.8%
8 2516
 
1.4%
ValueCountFrequency (%)
8 2516
 
1.4%
1 4981
 
2.8%
0 68849
38.2%
-4 103658
57.6%

THYDIS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.174679452
Minimum-4
Maximum8
Zeros60676
Zeros (%)33.7%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:22.438811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.224237338
Coefficient of variation (CV)-1.022788594
Kurtosis0.5160718598
Mean-2.174679452
Median Absolute Deviation (MAD)0
Skewness0.8031951954
Sum-391451
Variance4.947231735
MonotonicityNot monotonic
2023-09-07T18:31:22.548335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 60676
33.7%
1 14597
 
8.1%
8 1073
 
0.6%
ValueCountFrequency (%)
-4 103658
57.6%
0 60676
33.7%
1 14597
 
8.1%
8 1073
 
0.6%
ValueCountFrequency (%)
8 1073
 
0.6%
1 14597
 
8.1%
0 60676
33.7%
-4 103658
57.6%

ARTH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.022799493
Minimum-4
Maximum8
Zeros32392
Zeros (%)18.0%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:22.650849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.386342328
Coefficient of variation (CV)-1.179722625
Kurtosis-0.3987936136
Mean-2.022799493
Median Absolute Deviation (MAD)0
Skewness0.6538661189
Sum-364112
Variance5.694629706
MonotonicityNot monotonic
2023-09-07T18:31:22.759145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
1 43016
23.9%
0 32392
 
18.0%
8 938
 
0.5%
ValueCountFrequency (%)
-4 103658
57.6%
0 32392
 
18.0%
1 43016
23.9%
8 938
 
0.5%
ValueCountFrequency (%)
8 938
 
0.5%
1 43016
23.9%
0 32392
 
18.0%
-4 103658
57.6%

ARTYPE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3403424368
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative104596
Negative (%)58.1%
Memory size1.4 MiB
2023-09-07T18:31:22.866276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q32
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.734116934
Coefficient of variation (CV)-13.90986378
Kurtosis-0.8959592549
Mean-0.3403424368
Median Absolute Deviation (MAD)0
Skewness0.8190086537
Sum-61263
Variance22.41186314
MonotonicityNot monotonic
2023-09-07T18:31:22.978793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 104596
58.1%
2 39327
 
21.8%
8 32392
 
18.0%
9 1768
 
1.0%
1 1172
 
0.7%
3 749
 
0.4%
ValueCountFrequency (%)
-4 104596
58.1%
1 1172
 
0.7%
2 39327
 
21.8%
3 749
 
0.4%
8 32392
 
18.0%
ValueCountFrequency (%)
9 1768
 
1.0%
8 32392
18.0%
3 749
 
0.4%
2 39327
21.8%
1 1172
 
0.7%

ARTUPEX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7409890891
Minimum-4
Maximum8
Zeros17149
Zeros (%)9.5%
Negative104596
Negative (%)58.1%
Memory size1.4 MiB
2023-09-07T18:31:23.086309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.517617309
Coefficient of variation (CV)-6.096739312
Kurtosis-0.3172435122
Mean-0.7409890891
Median Absolute Deviation (MAD)0
Skewness1.094003941
Sum-133381
Variance20.40886615
MonotonicityNot monotonic
2023-09-07T18:31:23.197428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 104596
58.1%
8 32392
 
18.0%
1 25867
 
14.4%
0 17149
 
9.5%
ValueCountFrequency (%)
-4 104596
58.1%
0 17149
 
9.5%
1 25867
 
14.4%
8 32392
 
18.0%
ValueCountFrequency (%)
8 32392
 
18.0%
1 25867
 
14.4%
0 17149
 
9.5%
-4 104596
58.1%

ARTLOEX
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7262227506
Minimum-4
Maximum8
Zeros14491
Zeros (%)8.1%
Negative104596
Negative (%)58.1%
Memory size1.4 MiB
2023-09-07T18:31:23.302951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.521647713
Coefficient of variation (CV)-6.226254561
Kurtosis-0.3406812388
Mean-0.7262227506
Median Absolute Deviation (MAD)0
Skewness1.08206178
Sum-130723
Variance20.44529804
MonotonicityNot monotonic
2023-09-07T18:31:23.418469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 104596
58.1%
8 32392
 
18.0%
1 28525
 
15.8%
0 14491
 
8.1%
ValueCountFrequency (%)
-4 104596
58.1%
0 14491
 
8.1%
1 28525
 
15.8%
8 32392
 
18.0%
ValueCountFrequency (%)
8 32392
 
18.0%
1 28525
 
15.8%
0 14491
 
8.1%
-4 104596
58.1%

ARTSPIN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7826492745
Minimum-4
Maximum8
Zeros24648
Zeros (%)13.7%
Negative104596
Negative (%)58.1%
Memory size1.4 MiB
2023-09-07T18:31:23.521665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q31
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.505966082
Coefficient of variation (CV)-5.757324805
Kurtosis-0.2490804304
Mean-0.7826492745
Median Absolute Deviation (MAD)0
Skewness1.128032367
Sum-140880
Variance20.30373033
MonotonicityNot monotonic
2023-09-07T18:31:23.633186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 104596
58.1%
8 32392
 
18.0%
0 24648
 
13.7%
1 18368
 
10.2%
ValueCountFrequency (%)
-4 104596
58.1%
0 24648
 
13.7%
1 18368
 
10.2%
8 32392
 
18.0%
ValueCountFrequency (%)
8 32392
 
18.0%
1 18368
 
10.2%
0 24648
 
13.7%
-4 104596
58.1%

ARTUNKN
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8779304904
Minimum-4
Maximum8
Zeros41799
Zeros (%)23.2%
Negative104596
Negative (%)58.1%
Memory size1.4 MiB
2023-09-07T18:31:23.737703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile8
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.477747832
Coefficient of variation (CV)-5.100344367
Kurtosis-0.08129100945
Mean-0.8779304904
Median Absolute Deviation (MAD)0
Skewness1.207836645
Sum-158031
Variance20.05022564
MonotonicityNot monotonic
2023-09-07T18:31:23.847216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 104596
58.1%
0 41799
 
23.2%
8 32392
 
18.0%
1 1217
 
0.7%
ValueCountFrequency (%)
-4 104596
58.1%
0 41799
 
23.2%
1 1217
 
0.7%
8 32392
 
18.0%
ValueCountFrequency (%)
8 32392
 
18.0%
1 1217
 
0.7%
0 41799
 
23.2%
-4 104596
58.1%

URINEINC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.202773272
Minimum-4
Maximum8
Zeros61246
Zeros (%)34.0%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:23.951731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.144000655
Coefficient of variation (CV)-0.9733188078
Kurtosis-0.6999582274
Mean-2.202773272
Median Absolute Deviation (MAD)0
Skewness0.5600845128
Sum-396508
Variance4.596738808
MonotonicityNot monotonic
2023-09-07T18:31:24.065249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 61246
34.0%
1 14668
 
8.1%
8 432
 
0.2%
ValueCountFrequency (%)
-4 103658
57.6%
0 61246
34.0%
1 14668
 
8.1%
8 432
 
0.2%
ValueCountFrequency (%)
8 432
 
0.2%
1 14668
 
8.1%
0 61246
34.0%
-4 103658
57.6%

BOWLINC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.254883225
Minimum-4
Maximum8
Zeros70794
Zeros (%)39.3%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:24.173784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.07841419
Coefficient of variation (CV)-0.9217391691
Kurtosis-0.4972703514
Mean-2.254883225
Median Absolute Deviation (MAD)0
Skewness0.5743635724
Sum-405888
Variance4.319805546
MonotonicityNot monotonic
2023-09-07T18:31:24.566828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 70794
39.3%
1 5096
 
2.8%
8 456
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 70794
39.3%
1 5096
 
2.8%
8 456
 
0.3%
ValueCountFrequency (%)
8 456
 
0.3%
1 5096
 
2.8%
0 70794
39.3%
-4 103658
57.6%

SLEEPAP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.118580698
Minimum-4
Maximum8
Zeros60182
Zeros (%)33.4%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:24.668344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.381389513
Coefficient of variation (CV)-1.124049471
Kurtosis2.08553838
Mean-2.118580698
Median Absolute Deviation (MAD)0
Skewness1.164610752
Sum-381353
Variance5.671016011
MonotonicityNot monotonic
2023-09-07T18:31:24.778863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 60182
33.4%
1 13719
 
7.6%
8 2445
 
1.4%
ValueCountFrequency (%)
-4 103658
57.6%
0 60182
33.4%
1 13719
 
7.6%
8 2445
 
1.4%
ValueCountFrequency (%)
8 2445
 
1.4%
1 13719
 
7.6%
0 60182
33.4%
-4 103658
57.6%

REMDIS
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.197212284
Minimum-4
Maximum8
Zeros71284
Zeros (%)39.6%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:24.881380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.262163184
Coefficient of variation (CV)-1.029560594
Kurtosis2.260723637
Mean-2.197212284
Median Absolute Deviation (MAD)0
Skewness1.141593993
Sum-395507
Variance5.117382272
MonotonicityNot monotonic
2023-09-07T18:31:24.991496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 71284
39.6%
1 3053
 
1.7%
8 2009
 
1.1%
ValueCountFrequency (%)
-4 103658
57.6%
0 71284
39.6%
1 3053
 
1.7%
8 2009
 
1.1%
ValueCountFrequency (%)
8 2009
 
1.1%
1 3053
 
1.7%
0 71284
39.6%
-4 103658
57.6%

HYPOSOM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.193684585
Minimum-4
Maximum8
Zeros64405
Zeros (%)35.8%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:25.096993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.204289762
Coefficient of variation (CV)-1.004834413
Kurtosis0.7137529531
Mean-2.193684585
Median Absolute Deviation (MAD)0
Skewness0.8323790082
Sum-394872
Variance4.858893355
MonotonicityNot monotonic
2023-09-07T18:31:25.211507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 64405
35.8%
1 10824
 
6.0%
8 1117
 
0.6%
ValueCountFrequency (%)
-4 103658
57.6%
0 64405
35.8%
1 10824
 
6.0%
8 1117
 
0.6%
ValueCountFrequency (%)
8 1117
 
0.6%
1 10824
 
6.0%
0 64405
35.8%
-4 103658
57.6%

SLEEPOTH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.226450523
Minimum-4
Maximum8
Zeros72767
Zeros (%)40.4%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:25.318026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.188790954
Coefficient of variation (CV)-0.9830853779
Kurtosis1.625377351
Mean-2.226450523
Median Absolute Deviation (MAD)0
Skewness0.9890193389
Sum-400770
Variance4.790805841
MonotonicityNot monotonic
2023-09-07T18:31:25.429551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 72767
40.4%
1 2110
 
1.2%
8 1469
 
0.8%
ValueCountFrequency (%)
-4 103658
57.6%
0 72767
40.4%
1 2110
 
1.2%
8 1469
 
0.8%
ValueCountFrequency (%)
8 1469
 
0.8%
1 2110
 
1.2%
0 72767
40.4%
-4 103658
57.6%

ANGIOCP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.276110531
Minimum-4
Maximum8
Zeros74580
Zeros (%)41.4%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:25.537077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.049595391
Coefficient of variation (CV)-0.900481485
Kurtosis-0.4507187632
Mean-2.276110531
Median Absolute Deviation (MAD)0
Skewness0.5704072425
Sum-409709
Variance4.200841267
MonotonicityNot monotonic
2023-09-07T18:31:25.653594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 74580
41.4%
1 1315
 
0.7%
8 451
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 74580
41.4%
1 1315
 
0.7%
8 451
 
0.3%
ValueCountFrequency (%)
8 451
 
0.3%
1 1315
 
0.7%
0 74580
41.4%
-4 103658
57.6%

ANGIOPCI
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.266160752
Minimum-4
Maximum8
Zeros72845
Zeros (%)40.5%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:25.758156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.063607229
Coefficient of variation (CV)-0.9106182017
Kurtosis-0.4564815775
Mean-2.266160752
Median Absolute Deviation (MAD)0
Skewness0.5753457055
Sum-407918
Variance4.258474794
MonotonicityNot monotonic
2023-09-07T18:31:25.869685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 72845
40.5%
1 3042
 
1.7%
8 459
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 72845
40.5%
1 3042
 
1.7%
8 459
 
0.3%
ValueCountFrequency (%)
8 459
 
0.3%
1 3042
 
1.7%
0 72845
40.5%
-4 103658
57.6%

PACEMAKE
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.268905135
Minimum-4
Maximum8
Zeros73703
Zeros (%)40.9%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:25.976207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.063846379
Coefficient of variation (CV)-0.9096221549
Kurtosis-0.3023840663
Mean-2.268905135
Median Absolute Deviation (MAD)0
Skewness0.6009642917
Sum-408412
Variance4.259461875
MonotonicityNot monotonic
2023-09-07T18:31:26.083291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 73703
40.9%
1 2132
 
1.2%
8 511
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 73703
40.9%
1 2132
 
1.2%
8 511
 
0.3%
ValueCountFrequency (%)
8 511
 
0.3%
1 2132
 
1.2%
0 73703
40.9%
-4 103658
57.6%

HVALVE
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.273749472
Minimum-4
Maximum8
Zeros74799
Zeros (%)41.6%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:26.192360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.059749167
Coefficient of variation (CV)-0.9058821967
Kurtosis-0.1960459982
Mean-2.273749472
Median Absolute Deviation (MAD)0
Skewness0.6167320134
Sum-409284
Variance4.242566629
MonotonicityNot monotonic
2023-09-07T18:31:26.302859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 74799
41.6%
1 1004
 
0.6%
8 543
 
0.3%
ValueCountFrequency (%)
-4 103658
57.6%
0 74799
41.6%
1 1004
 
0.6%
8 543
 
0.3%
ValueCountFrequency (%)
8 543
 
0.3%
1 1004
 
0.6%
0 74799
41.6%
-4 103658
57.6%

ANTIENC
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.209100909
Minimum-4
Maximum8
Zeros74180
Zeros (%)41.2%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:26.407374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile0
Maximum8
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.255373079
Coefficient of variation (CV)-1.020946155
Kurtosis2.547126917
Mean-2.209100909
Median Absolute Deviation (MAD)0
Skewness1.190537751
Sum-397647
Variance5.086707726
MonotonicityNot monotonic
2023-09-07T18:31:26.519921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 103658
57.6%
0 74180
41.2%
8 2117
 
1.2%
1 49
 
< 0.1%
ValueCountFrequency (%)
-4 103658
57.6%
0 74180
41.2%
1 49
 
< 0.1%
8 2117
 
1.2%
ValueCountFrequency (%)
8 2117
 
1.2%
1 49
 
< 0.1%
0 74180
41.2%
-4 103658
57.6%

OTHCOND
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.174923891
Minimum-4
Maximum1
Zeros53209
Zeros (%)29.6%
Negative103658
Negative (%)57.6%
Memory size1.4 MiB
2023-09-07T18:31:26.631439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.14758176
Coefficient of variation (CV)-0.9874284657
Kurtosis-1.77470988
Mean-2.174923891
Median Absolute Deviation (MAD)0
Skewness0.3689140008
Sum-391495
Variance4.612107417
MonotonicityNot monotonic
2023-09-07T18:31:26.739954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 103658
57.6%
0 53209
29.6%
1 23137
 
12.9%
ValueCountFrequency (%)
-4 103658
57.6%
0 53209
29.6%
1 23137
 
12.9%
ValueCountFrequency (%)
1 23137
 
12.9%
0 53209
29.6%
-4 103658
57.6%

NACCAGEB
Real number (ℝ)

Distinct90
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.33670918
Minimum18
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:26.872477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile55
Q165
median72
Q378
95-th percentile86
Maximum110
Range92
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.828196854
Coefficient of variation (CV)0.1377719405
Kurtosis1.188009675
Mean71.33670918
Median Absolute Deviation (MAD)6
Skewness-0.5236856544
Sum12840893
Variance96.5934534
MonotonicityNot monotonic
2023-09-07T18:31:27.023515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 7691
 
4.3%
73 7638
 
4.2%
70 7459
 
4.1%
75 7249
 
4.0%
69 7027
 
3.9%
74 7011
 
3.9%
68 6903
 
3.8%
67 6903
 
3.8%
71 6856
 
3.8%
77 6797
 
3.8%
Other values (80) 108470
60.3%
ValueCountFrequency (%)
18 11
 
< 0.1%
19 9
 
< 0.1%
20 5
 
< 0.1%
21 33
< 0.1%
22 42
< 0.1%
ValueCountFrequency (%)
110 1
 
< 0.1%
109 2
 
< 0.1%
106 1
 
< 0.1%
104 9
< 0.1%
103 6
< 0.1%

NACCNIHR
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.631508189
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:27.146027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.0733168
Coefficient of variation (CV)4.207973528
Kurtosis71.09530659
Mean2.631508189
Median Absolute Deviation (MAD)0
Skewness8.512141359
Sum473682
Variance122.6183449
MonotonicityNot monotonic
2023-09-07T18:31:27.259549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 146176
81.2%
2 21204
 
11.8%
6 5019
 
2.8%
5 4432
 
2.5%
99 2325
 
1.3%
3 743
 
0.4%
4 105
 
0.1%
ValueCountFrequency (%)
1 146176
81.2%
2 21204
 
11.8%
3 743
 
0.4%
4 105
 
0.1%
5 4432
 
2.5%
ValueCountFrequency (%)
99 2325
1.3%
6 5019
2.8%
5 4432
2.5%
4 105
 
0.1%
3 743
 
0.4%

NACCNORM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3431868181
Minimum0
Maximum1
Zeros118229
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:27.371874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4747745552
Coefficient of variation (CV)1.383428879
Kurtosis-1.56364233
Mean0.3431868181
Median Absolute Deviation (MAD)0
Skewness0.6605868936
Sum61775
Variance0.2254108782
MonotonicityNot monotonic
2023-09-07T18:31:27.487396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 118229
65.7%
1 61775
34.3%
ValueCountFrequency (%)
0 118229
65.7%
1 61775
34.3%
ValueCountFrequency (%)
1 61775
34.3%
0 118229
65.7%

NACCIDEM
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.104503233
Minimum0
Maximum8
Zeros108387
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:27.595426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.365821019
Coefficient of variation (CV)1.599342289
Kurtosis-0.6112532275
Mean2.104503233
Median Absolute Deviation (MAD)0
Skewness1.157571064
Sum378819
Variance11.32875113
MonotonicityNot monotonic
2023-09-07T18:31:27.710963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 108387
60.2%
8 43886
24.4%
1 27731
 
15.4%
ValueCountFrequency (%)
0 108387
60.2%
1 27731
 
15.4%
8 43886
24.4%
ValueCountFrequency (%)
8 43886
24.4%
1 27731
 
15.4%
0 108387
60.2%

NACCAGE
Real number (ℝ)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.52230506
Minimum18
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:27.855479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile57
Q168
median75
Q382
95-th percentile90
Maximum110
Range92
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.24411176
Coefficient of variation (CV)0.1374636996
Kurtosis1.053190245
Mean74.52230506
Median Absolute Deviation (MAD)7
Skewness-0.5258430627
Sum13414313
Variance104.9418257
MonotonicityNot monotonic
2023-09-07T18:31:28.008511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 7204
 
4.0%
77 7169
 
4.0%
74 7136
 
4.0%
76 7047
 
3.9%
78 6987
 
3.9%
73 6986
 
3.9%
79 6883
 
3.8%
72 6735
 
3.7%
80 6601
 
3.7%
71 6426
 
3.6%
Other values (83) 110830
61.6%
ValueCountFrequency (%)
18 5
 
< 0.1%
19 4
 
< 0.1%
20 6
 
< 0.1%
21 16
< 0.1%
22 17
< 0.1%
ValueCountFrequency (%)
110 2
 
< 0.1%
109 1
 
< 0.1%
108 2
 
< 0.1%
107 3
< 0.1%
106 7
< 0.1%

NACCAAAS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03285482545
Minimum-4
Maximum1
Zeros161600
Zeros (%)89.8%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:28.129030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5561712795
Coefficient of variation (CV)16.92814592
Kurtosis36.17370646
Mean0.03285482545
Median Absolute Deviation (MAD)0
Skewness-4.826425614
Sum5914
Variance0.3093264921
MonotonicityNot monotonic
2023-09-07T18:31:28.248568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 161600
89.8%
1 15906
 
8.8%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 161600
89.8%
1 15906
 
8.8%
ValueCountFrequency (%)
1 15906
 
8.8%
0 161600
89.8%
-4 2498
 
1.4%

NACCAANX
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07851492189
Minimum-4
Maximum1
Zeros153381
Zeros (%)85.2%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:28.353070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5915248605
Coefficient of variation (CV)7.533916436
Kurtosis29.15441506
Mean0.07851492189
Median Absolute Deviation (MAD)0
Skewness-4.044189414
Sum14133
Variance0.3499016606
MonotonicityNot monotonic
2023-09-07T18:31:28.480592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 153381
85.2%
1 24125
 
13.4%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 153381
85.2%
1 24125
 
13.4%
ValueCountFrequency (%)
1 24125
 
13.4%
0 153381
85.2%
-4 2498
 
1.4%

NACCAC
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3510810871
Minimum-4
Maximum1
Zeros104318
Zeros (%)58.0%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:28.588117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7108975684
Coefficient of variation (CV)2.024881415
Kurtosis16.79218418
Mean0.3510810871
Median Absolute Deviation (MAD)0
Skewness-2.942461459
Sum63196
Variance0.5053753527
MonotonicityNot monotonic
2023-09-07T18:31:28.698144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 104318
58.0%
1 73188
40.7%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 104318
58.0%
1 73188
40.7%
ValueCountFrequency (%)
1 73188
40.7%
0 104318
58.0%
-4 2498
 
1.4%

NACCACEI
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1117919602
Minimum-4
Maximum1
Zeros147391
Zeros (%)81.9%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:28.808662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6138778373
Coefficient of variation (CV)5.491252111
Kurtosis25.66749989
Mean0.1117919602
Median Absolute Deviation (MAD)0
Skewness-3.668459107
Sum20123
Variance0.3768459992
MonotonicityNot monotonic
2023-09-07T18:31:28.923184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 147391
81.9%
1 30115
 
16.7%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 147391
81.9%
1 30115
 
16.7%
ValueCountFrequency (%)
1 30115
 
16.7%
0 147391
81.9%
-4 2498
 
1.4%

NACCADEP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2364391902
Minimum-4
Maximum1
Zeros124954
Zeros (%)69.4%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:29.036701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6768217138
Coefficient of variation (CV)2.862561461
Kurtosis18.78588878
Mean0.2364391902
Median Absolute Deviation (MAD)0
Skewness-3.013672765
Sum42560
Variance0.4580876322
MonotonicityNot monotonic
2023-09-07T18:31:29.153216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 124954
69.4%
1 52552
29.2%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 124954
69.4%
1 52552
29.2%
ValueCountFrequency (%)
1 52552
29.2%
0 124954
69.4%
-4 2498
 
1.4%

NACCADMD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1912457501
Minimum-4
Maximum1
Zeros133089
Zeros (%)73.9%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:29.263754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6574363864
Coefficient of variation (CV)3.437652267
Kurtosis20.49405798
Mean0.1912457501
Median Absolute Deviation (MAD)0
Skewness-3.154548712
Sum34425
Variance0.4322226021
MonotonicityNot monotonic
2023-09-07T18:31:29.378278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 133089
73.9%
1 44417
 
24.7%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 133089
73.9%
1 44417
 
24.7%
ValueCountFrequency (%)
1 44417
 
24.7%
0 133089
73.9%
-4 2498
 
1.4%

NACCAHTN
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.490511322
Minimum-4
Maximum1
Zeros79220
Zeros (%)44.0%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:29.491310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7262659864
Coefficient of variation (CV)1.480630424
Kurtosis17.50655431
Mean0.490511322
Median Absolute Deviation (MAD)0
Skewness-3.227409987
Sum88294
Variance0.5274622831
MonotonicityNot monotonic
2023-09-07T18:31:29.613832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 98286
54.6%
0 79220
44.0%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 79220
44.0%
1 98286
54.6%
ValueCountFrequency (%)
1 98286
54.6%
0 79220
44.0%
-4 2498
 
1.4%

NACCAMD
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.549915557
Minimum-4
Maximum40
Zeros7055
Zeros (%)3.9%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:29.749352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q14
median6
Q39
95-th percentile14
Maximum40
Range44
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.346902998
Coefficient of variation (CV)0.6636578686
Kurtosis1.281151337
Mean6.549915557
Median Absolute Deviation (MAD)3
Skewness0.6624880461
Sum1179011
Variance18.89556568
MonotonicityNot monotonic
2023-09-07T18:31:29.899065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5 17968
10.0%
6 17811
9.9%
4 17149
9.5%
7 16688
9.3%
8 14707
 
8.2%
3 14607
 
8.1%
9 12270
 
6.8%
2 11338
 
6.3%
10 9766
 
5.4%
1 8383
 
4.7%
Other values (31) 39317
21.8%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 7055
3.9%
1 8383
4.7%
2 11338
6.3%
3 14607
8.1%
ValueCountFrequency (%)
40 4
< 0.1%
38 4
< 0.1%
37 2
< 0.1%
36 4
< 0.1%
35 2
< 0.1%

NACCANGI
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0622486167
Minimum-4
Maximum1
Zeros156309
Zeros (%)86.8%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:30.014562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5795903557
Coefficient of variation (CV)9.310895349
Kurtosis31.29656129
Mean0.0622486167
Median Absolute Deviation (MAD)0
Skewness-4.280388747
Sum11205
Variance0.3359249804
MonotonicityNot monotonic
2023-09-07T18:31:30.125123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 156309
86.8%
1 21197
 
11.8%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 156309
86.8%
1 21197
 
11.8%
ValueCountFrequency (%)
1 21197
 
11.8%
0 156309
86.8%
-4 2498
 
1.4%

NACCAPSY
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01169974001
Minimum-4
Maximum1
Zeros169620
Zeros (%)94.2%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:30.240708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5154747715
Coefficient of variation (CV)-44.05865184
Kurtosis47.38351791
Mean-0.01169974001
Median Absolute Deviation (MAD)0
Skewness-6.09651809
Sum-2106
Variance0.26571424
MonotonicityNot monotonic
2023-09-07T18:31:30.352222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 169620
94.2%
1 7886
 
4.4%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 169620
94.2%
1 7886
 
4.4%
ValueCountFrequency (%)
1 7886
 
4.4%
0 169620
94.2%
-4 2498
 
1.4%

NACCBETA
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.149974445
Minimum-4
Maximum1
Zeros140518
Zeros (%)78.1%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:30.461742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6364226181
Coefficient of variation (CV)4.243540411
Kurtosis22.74779117
Mean0.149974445
Median Absolute Deviation (MAD)0
Skewness-3.368451328
Sum26996
Variance0.4050337488
MonotonicityNot monotonic
2023-09-07T18:31:30.575282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 140518
78.1%
1 36988
 
20.5%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 140518
78.1%
1 36988
 
20.5%
ValueCountFrequency (%)
1 36988
 
20.5%
0 140518
78.1%
-4 2498
 
1.4%

NACCCCBS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1034754783
Minimum-4
Maximum1
Zeros148888
Zeros (%)82.7%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:30.682805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6085390282
Coefficient of variation (CV)5.880997489
Kurtosis26.44293858
Mean0.1034754783
Median Absolute Deviation (MAD)0
Skewness-3.750770023
Sum18626
Variance0.3703197488
MonotonicityNot monotonic
2023-09-07T18:31:30.793855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 148888
82.7%
1 28618
 
15.9%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 148888
82.7%
1 28618
 
15.9%
ValueCountFrequency (%)
1 28618
 
15.9%
0 148888
82.7%
-4 2498
 
1.4%

NACCDBMD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04713228595
Minimum-4
Maximum1
Zeros159030
Zeros (%)88.3%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:30.902371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5678573877
Coefficient of variation (CV)12.04816139
Kurtosis33.62010533
Mean0.04713228595
Median Absolute Deviation (MAD)0
Skewness-4.539447524
Sum8484
Variance0.3224620128
MonotonicityNot monotonic
2023-09-07T18:31:31.015561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 159030
88.3%
1 18476
 
10.3%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 159030
88.3%
1 18476
 
10.3%
ValueCountFrequency (%)
1 18476
 
10.3%
0 159030
88.3%
-4 2498
 
1.4%

NACCDIUR
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09855336548
Minimum-4
Maximum1
Zeros149774
Zeros (%)83.2%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:31.122079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6053032487
Coefficient of variation (CV)6.141883088
Kurtosis26.92980297
Mean0.09855336548
Median Absolute Deviation (MAD)0
Skewness-3.802865511
Sum17740
Variance0.3663920229
MonotonicityNot monotonic
2023-09-07T18:31:31.239597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149774
83.2%
1 27732
 
15.4%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 149774
83.2%
1 27732
 
15.4%
ValueCountFrequency (%)
1 27732
 
15.4%
0 149774
83.2%
-4 2498
 
1.4%

NACCEMD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0226883847
Minimum-4
Maximum1
Zeros171598
Zeros (%)95.3%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:31.347116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5043289138
Coefficient of variation (CV)-22.22850681
Kurtosis51.23713733
Mean-0.0226883847
Median Absolute Deviation (MAD)0
Skewness-6.533054232
Sum-4084
Variance0.2543476533
MonotonicityNot monotonic
2023-09-07T18:31:31.470630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 171598
95.3%
1 5908
 
3.3%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 171598
95.3%
1 5908
 
3.3%
ValueCountFrequency (%)
1 5908
 
3.3%
0 171598
95.3%
-4 2498
 
1.4%

NACCEPMD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05192106842
Minimum-4
Maximum1
Zeros176860
Zeros (%)98.3%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:31.577146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.472158618
Coefficient of variation (CV)-9.093777003
Kurtosis64.93366053
Mean-0.05192106842
Median Absolute Deviation (MAD)0
Skewness-8.07256283
Sum-9346
Variance0.2229337605
MonotonicityNot monotonic
2023-09-07T18:31:31.688666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 176860
98.3%
-4 2498
 
1.4%
1 646
 
0.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 176860
98.3%
1 646
 
0.4%
ValueCountFrequency (%)
1 646
 
0.4%
0 176860
98.3%
-4 2498
 
1.4%

NACCHTNC
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01280527099
Minimum-4
Maximum1
Zeros169819
Zeros (%)94.3%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:31.796692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5143749719
Coefficient of variation (CV)-40.16900323
Kurtosis47.7464677
Mean-0.01280527099
Median Absolute Deviation (MAD)0
Skewness-6.137671156
Sum-2305
Variance0.2645816117
MonotonicityNot monotonic
2023-09-07T18:31:31.909839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 169819
94.3%
1 7687
 
4.3%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 169819
94.3%
1 7687
 
4.3%
ValueCountFrequency (%)
1 7687
 
4.3%
0 169819
94.3%
-4 2498
 
1.4%

NACCLIPL
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3856803182
Minimum-4
Maximum1
Zeros98090
Zeros (%)54.5%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:32.015355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.717274882
Coefficient of variation (CV)1.859765324
Kurtosis16.67981311
Mean0.3856803182
Median Absolute Deviation (MAD)0
Skewness-2.979819825
Sum69424
Variance0.5144832563
MonotonicityNot monotonic
2023-09-07T18:31:32.126871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 98090
54.5%
1 79416
44.1%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 98090
54.5%
1 79416
44.1%
ValueCountFrequency (%)
1 79416
44.1%
0 98090
54.5%
-4 2498
 
1.4%

NACCNSD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3623697251
Minimum-4
Maximum1
Zeros102286
Zeros (%)56.8%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:32.240390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7131690689
Coefficient of variation (CV)1.968070232
Kurtosis16.73371472
Mean0.3623697251
Median Absolute Deviation (MAD)0
Skewness-2.952074851
Sum65228
Variance0.5086101208
MonotonicityNot monotonic
2023-09-07T18:31:32.350931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 102286
56.8%
1 75220
41.8%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 102286
56.8%
1 75220
41.8%
ValueCountFrequency (%)
1 75220
41.8%
0 102286
56.8%
-4 2498
 
1.4%

NACCPDMD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008516477412
Minimum-4
Maximum1
Zeros169047
Zeros (%)93.9%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:32.741040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5186153432
Coefficient of variation (CV)-60.89552266
Kurtosis46.36686022
Mean-0.008516477412
Median Absolute Deviation (MAD)0
Skewness-5.981214227
Sum-1533
Variance0.2689618742
MonotonicityNot monotonic
2023-09-07T18:31:32.849558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 169047
93.9%
1 8459
 
4.7%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 169047
93.9%
1 8459
 
4.7%
ValueCountFrequency (%)
1 8459
 
4.7%
0 169047
93.9%
-4 2498
 
1.4%

NACCVASD
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03602142175
Minimum-4
Maximum1
Zeros173998
Zeros (%)96.7%
Negative2498
Negative (%)1.4%
Memory size1.4 MiB
2023-09-07T18:31:32.958081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4901344283
Coefficient of variation (CV)-13.60674856
Kurtosis56.76237686
Mean-0.03602142175
Median Absolute Deviation (MAD)0
Skewness-7.156740795
Sum-6484
Variance0.2402317578
MonotonicityNot monotonic
2023-09-07T18:31:33.072616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 173998
96.7%
1 3508
 
1.9%
-4 2498
 
1.4%
ValueCountFrequency (%)
-4 2498
 
1.4%
0 173998
96.7%
1 3508
 
1.9%
ValueCountFrequency (%)
1 3508
 
1.9%
0 173998
96.7%
-4 2498
 
1.4%

NACCBMI
Real number (ℝ)

Distinct478
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.97882158
Minimum-4
Maximum888.8
Zeros0
Zeros (%)0.0%
Negative23839
Negative (%)13.2%
Memory size1.4 MiB
2023-09-07T18:31:33.209667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q122.1
median25.8
Q330.2
95-th percentile888.8
Maximum888.8
Range892.8
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation222.4977069
Coefficient of variation (CV)2.649450215
Kurtosis9.132447606
Mean83.97882158
Median Absolute Deviation (MAD)4
Skewness3.330291518
Sum15116523.8
Variance49505.22956
MonotonicityNot monotonic
2023-09-07T18:31:33.354195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 23839
 
13.2%
888.8 12749
 
7.1%
25.8 1802
 
1.0%
26.6 1693
 
0.9%
25.1 1680
 
0.9%
23 1579
 
0.9%
25.5 1480
 
0.8%
24.4 1463
 
0.8%
25.2 1433
 
0.8%
24 1431
 
0.8%
Other values (468) 130855
72.7%
ValueCountFrequency (%)
-4 23839
13.2%
9.6 1
 
< 0.1%
9.9 1
 
< 0.1%
10.3 1
 
< 0.1%
10.5 1
 
< 0.1%
ValueCountFrequency (%)
888.8 12749
7.1%
84.2 1
 
< 0.1%
68.6 1
 
< 0.1%
66.8 1
 
< 0.1%
64.4 1
 
< 0.1%

NACCUDSD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.303954357
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:33.467225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.332327579
Coefficient of variation (CV)0.5782786344
Kurtosis-1.75048855
Mean2.303954357
Median Absolute Deviation (MAD)1
Skewness0.2031155977
Sum414721
Variance1.775096778
MonotonicityNot monotonic
2023-09-07T18:31:33.575764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 86025
47.8%
4 54695
30.4%
3 31348
 
17.4%
2 7936
 
4.4%
ValueCountFrequency (%)
1 86025
47.8%
2 7936
 
4.4%
3 31348
 
17.4%
4 54695
30.4%
ValueCountFrequency (%)
4 54695
30.4%
3 31348
 
17.4%
2 7936
 
4.4%
1 86025
47.8%

NACCDIED
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2916324082
Minimum0
Maximum1
Zeros127509
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:33.687311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.45451523
Coefficient of variation (CV)1.558520992
Kurtosis-1.159328253
Mean0.2916324082
Median Absolute Deviation (MAD)0
Skewness0.9168885583
Sum52495
Variance0.2065840943
MonotonicityNot monotonic
2023-09-07T18:31:33.797427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 127509
70.8%
1 52495
29.2%
ValueCountFrequency (%)
0 127509
70.8%
1 52495
29.2%
ValueCountFrequency (%)
1 52495
29.2%
0 127509
70.8%

NACCMOD
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.22051177
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:33.907947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q111
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)77

Descriptive statistics

Standard deviation37.11106263
Coefficient of variation (CV)0.577869307
Kurtosis-1.12993917
Mean64.22051177
Median Absolute Deviation (MAD)0
Skewness-0.9257974231
Sum11559949
Variance1377.23097
MonotonicityNot monotonic
2023-09-07T18:31:34.019449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
88 127509
70.8%
1 5008
 
2.8%
12 4848
 
2.7%
2 4726
 
2.6%
10 4658
 
2.6%
11 4585
 
2.5%
3 4430
 
2.5%
4 4426
 
2.5%
5 4179
 
2.3%
8 3988
 
2.2%
Other values (3) 11647
 
6.5%
ValueCountFrequency (%)
1 5008
2.8%
2 4726
2.6%
3 4430
2.5%
4 4426
2.5%
5 4179
2.3%
ValueCountFrequency (%)
88 127509
70.8%
12 4848
 
2.7%
11 4585
 
2.5%
10 4658
 
2.6%
9 3959
 
2.2%

NACCYOD
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6883.934635
Minimum2005
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:34.130965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2012
Q12021
median8888
Q38888
95-th percentile8888
Maximum8888
Range6883
Interquartile range (IQR)6867

Descriptive statistics

Standard deviation3123.378723
Coefficient of variation (CV)0.4537199855
Kurtosis-1.159322796
Mean6883.934635
Median Absolute Deviation (MAD)0
Skewness-0.9168902114
Sum1239135770
Variance9755494.647
MonotonicityNot monotonic
2023-09-07T18:31:34.264484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8888 127509
70.8%
2020 4917
 
2.7%
2019 4198
 
2.3%
2018 4188
 
2.3%
2017 4164
 
2.3%
2021 4141
 
2.3%
2016 4091
 
2.3%
2015 3900
 
2.2%
2022 3649
 
2.0%
2014 3466
 
1.9%
Other values (10) 15781
 
8.8%
ValueCountFrequency (%)
2005 9
 
< 0.1%
2006 221
 
0.1%
2007 614
 
0.3%
2008 1172
0.7%
2009 1567
0.9%
ValueCountFrequency (%)
8888 127509
70.8%
2023 877
 
0.5%
2022 3649
 
2.0%
2021 4141
 
2.3%
2020 4917
 
2.7%

NACCAUTP
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.844664563
Minimum0
Maximum8
Zeros20504
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:34.381797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.369452318
Coefficient of variation (CV)0.5765005471
Kurtosis-1.090579986
Mean5.844664563
Median Absolute Deviation (MAD)0
Skewness-0.9373898901
Sum1052063
Variance11.35320892
MonotonicityNot monotonic
2023-09-07T18:31:34.498915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 127509
70.8%
1 31991
 
17.8%
0 20504
 
11.4%
ValueCountFrequency (%)
0 20504
 
11.4%
1 31991
 
17.8%
8 127509
70.8%
ValueCountFrequency (%)
8 127509
70.8%
1 31991
 
17.8%
0 20504
 
11.4%

NACCACTV
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4914446346
Minimum0
Maximum2
Zeros101532
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:34.610476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6007714576
Coefficient of variation (CV)1.222460101
Kurtosis-0.3455929072
Mean0.4914446346
Median Absolute Deviation (MAD)0
Skewness0.8007245199
Sum88462
Variance0.3609263442
MonotonicityNot monotonic
2023-09-07T18:31:34.727000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 101532
56.4%
1 68482
38.0%
2 9990
 
5.5%
ValueCountFrequency (%)
0 101532
56.4%
1 68482
38.0%
2 9990
 
5.5%
ValueCountFrequency (%)
2 9990
 
5.5%
1 68482
38.0%
0 101532
56.4%

NACCNOVS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7220228439
Minimum0
Maximum8
Zeros68482
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:34.838520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.01018369
Coefficient of variation (CV)1.399102117
Kurtosis36.54450762
Mean0.7220228439
Median Absolute Deviation (MAD)0
Skewness5.34809053
Sum129967
Variance1.020471087
MonotonicityNot monotonic
2023-09-07T18:31:34.956037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 108887
60.5%
0 68482
38.0%
8 2635
 
1.5%
ValueCountFrequency (%)
0 68482
38.0%
1 108887
60.5%
8 2635
 
1.5%
ValueCountFrequency (%)
8 2635
 
1.5%
1 108887
60.5%
0 68482
38.0%

NACCDSMO
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.31145419
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:35.076553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)78

Descriptive statistics

Standard deviation37.62321767
Coefficient of variation (CV)0.5942560971
Kurtosis-1.226203787
Mean63.31145419
Median Absolute Deviation (MAD)0
Skewness-0.873075831
Sum11396315
Variance1415.506508
MonotonicityNot monotonic
2023-09-07T18:31:35.189077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
88 125729
69.8%
3 6106
 
3.4%
2 5748
 
3.2%
4 5519
 
3.1%
5 5255
 
2.9%
11 4952
 
2.8%
10 4273
 
2.4%
6 4052
 
2.3%
1 3963
 
2.2%
8 3945
 
2.2%
Other values (3) 10462
 
5.8%
ValueCountFrequency (%)
1 3963
2.2%
2 5748
3.2%
3 6106
3.4%
4 5519
3.1%
5 5255
2.9%
ValueCountFrequency (%)
88 125729
69.8%
12 3241
 
1.8%
11 4952
 
2.8%
10 4273
 
2.4%
9 3761
 
2.1%

NACCDSDY
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.02031622
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:35.310143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q125
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)63

Descriptive statistics

Standard deviation33.83622796
Coefficient of variation (CV)0.5125123583
Kurtosis-1.02680829
Mean66.02031622
Median Absolute Deviation (MAD)0
Skewness-0.9362525905
Sum11883921
Variance1144.890322
MonotonicityNot monotonic
2023-09-07T18:31:35.443663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 125745
69.9%
1 3354
 
1.9%
21 3218
 
1.8%
8 2798
 
1.6%
30 2719
 
1.5%
2 2564
 
1.4%
5 2102
 
1.2%
24 2020
 
1.1%
17 1962
 
1.1%
15 1683
 
0.9%
Other values (22) 31839
 
17.7%
ValueCountFrequency (%)
1 3354
1.9%
2 2564
1.4%
3 1481
0.8%
4 1501
0.8%
5 2102
1.2%
ValueCountFrequency (%)
88 125745
69.9%
31 986
 
0.5%
30 2719
 
1.5%
29 1431
 
0.8%
28 1243
 
0.7%

NACCDSYR
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6810.651697
Minimum2005
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:35.561178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2010
Q12020
median8888
Q38888
95-th percentile8888
Maximum8888
Range6883
Interquartile range (IQR)6868

Descriptive statistics

Standard deviation3156.260916
Coefficient of variation (CV)0.4634300882
Kurtosis-1.258337058
Mean6810.651697
Median Absolute Deviation (MAD)0
Skewness-0.8612050399
Sum1225944548
Variance9961982.971
MonotonicityNot monotonic
2023-09-07T18:31:35.687700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8888 125597
69.8%
2012 5835
 
3.2%
2019 5272
 
2.9%
2010 3934
 
2.2%
2018 3911
 
2.2%
2017 3375
 
1.9%
2016 3259
 
1.8%
2022 3248
 
1.8%
2014 3217
 
1.8%
2011 3162
 
1.8%
Other values (10) 19194
 
10.7%
ValueCountFrequency (%)
2005 9
 
< 0.1%
2006 186
 
0.1%
2007 1693
0.9%
2008 1608
0.9%
2009 2342
1.3%
ValueCountFrequency (%)
8888 125597
69.8%
2023 1287
 
0.7%
2022 3248
 
1.8%
2021 2897
 
1.6%
2020 2979
 
1.7%

NACCNURP
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005749872225
Minimum0
Maximum1
Zeros178969
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:35.809725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07560980726
Coefficient of variation (CV)13.14982391
Kurtosis168.927417
Mean0.005749872225
Median Absolute Deviation (MAD)0
Skewness13.07384947
Sum1035
Variance0.005716842954
MonotonicityNot monotonic
2023-09-07T18:31:35.925245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178969
99.4%
1 1035
 
0.6%
ValueCountFrequency (%)
0 178969
99.4%
1 1035
 
0.6%
ValueCountFrequency (%)
1 1035
 
0.6%
0 178969
99.4%

NACCNRMO
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.5585487
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:36.040833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.021307161
Coefficient of variation (CV)0.06876892377
Kurtosis179.7711135
Mean87.5585487
Median Absolute Deviation (MAD)0
Skewness-13.45963764
Sum15760889
Variance36.25613993
MonotonicityNot monotonic
2023-09-07T18:31:36.161393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 178969
99.4%
1 136
 
0.1%
8 111
 
0.1%
2 97
 
0.1%
10 96
 
0.1%
9 93
 
0.1%
6 89
 
< 0.1%
4 88
 
< 0.1%
12 85
 
< 0.1%
99 55
 
< 0.1%
Other values (4) 185
 
0.1%
ValueCountFrequency (%)
1 136
0.1%
2 97
0.1%
3 43
 
< 0.1%
4 88
< 0.1%
5 44
 
< 0.1%
ValueCountFrequency (%)
99 55
 
< 0.1%
88 178969
99.4%
12 85
 
< 0.1%
11 54
 
< 0.1%
10 96
 
0.1%

NACCNRDY
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.59293682
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:36.298431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.720042785
Coefficient of variation (CV)0.0653025574
Kurtosis194.6256017
Mean87.59293682
Median Absolute Deviation (MAD)0
Skewness-13.92558661
Sum15767079
Variance32.71888946
MonotonicityNot monotonic
2023-09-07T18:31:36.434765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 178969
99.4%
1 385
 
0.2%
99 88
 
< 0.1%
15 70
 
< 0.1%
12 35
 
< 0.1%
3 33
 
< 0.1%
29 30
 
< 0.1%
30 28
 
< 0.1%
6 28
 
< 0.1%
10 27
 
< 0.1%
Other values (22) 311
 
0.2%
ValueCountFrequency (%)
1 385
0.2%
2 19
 
< 0.1%
3 33
 
< 0.1%
4 22
 
< 0.1%
5 9
 
< 0.1%
ValueCountFrequency (%)
99 88
 
< 0.1%
88 178969
99.4%
31 7
 
< 0.1%
30 28
 
< 0.1%
29 30
 
< 0.1%

NACCNRYR
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8848.896113
Minimum2002
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:36.565286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile8888
Q18888
median8888
Q38888
95-th percentile8888
Maximum9999
Range7997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation517.612437
Coefficient of variation (CV)0.05849457722
Kurtosis170.5367301
Mean8848.896113
Median Absolute Deviation (MAD)0
Skewness-13.13293055
Sum1592836696
Variance267922.6349
MonotonicityNot monotonic
2023-09-07T18:31:36.695321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8888 178969
99.4%
2010 204
 
0.1%
2009 151
 
0.1%
2012 141
 
0.1%
2011 125
 
0.1%
2008 109
 
0.1%
2007 85
 
< 0.1%
2013 82
 
< 0.1%
2014 48
 
< 0.1%
2006 41
 
< 0.1%
Other values (6) 49
 
< 0.1%
ValueCountFrequency (%)
2002 1
 
< 0.1%
2003 1
 
< 0.1%
2004 3
 
< 0.1%
2005 21
< 0.1%
2006 41
< 0.1%
ValueCountFrequency (%)
9999 10
 
< 0.1%
8888 178969
99.4%
2015 13
 
< 0.1%
2014 48
 
< 0.1%
2013 82
 
< 0.1%

NACCFTD
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04208239817
Minimum0
Maximum1
Zeros172429
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:36.812894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2007777226
Coefficient of variation (CV)4.771061805
Kurtosis18.80739116
Mean0.04208239817
Median Absolute Deviation (MAD)0
Skewness4.561489033
Sum7575
Variance0.04031169388
MonotonicityNot monotonic
2023-09-07T18:31:36.927455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 172429
95.8%
1 7575
 
4.2%
ValueCountFrequency (%)
0 172429
95.8%
1 7575
 
4.2%
ValueCountFrequency (%)
1 7575
 
4.2%
0 172429
95.8%

NACCMDSS
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.519299571
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:37.035728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8545946482
Coefficient of variation (CV)0.3392191457
Kurtosis-0.5229897003
Mean2.519299571
Median Absolute Deviation (MAD)0
Skewness-1.215325516
Sum453484
Variance0.7303320127
MonotonicityNot monotonic
2023-09-07T18:31:37.157269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 136740
76.0%
1 43264
 
24.0%
ValueCountFrequency (%)
1 43264
 
24.0%
3 136740
76.0%
ValueCountFrequency (%)
3 136740
76.0%
1 43264
 
24.0%

NACCPAFF
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02067176285
Minimum0
Maximum1
Zeros176283
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:37.275841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1422833565
Coefficient of variation (CV)6.88298127
Kurtosis43.39751485
Mean0.02067176285
Median Absolute Deviation (MAD)0
Skewness6.737732012
Sum3721
Variance0.02024455354
MonotonicityNot monotonic
2023-09-07T18:31:37.387348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176283
97.9%
1 3721
 
2.1%
ValueCountFrequency (%)
0 176283
97.9%
1 3721
 
2.1%
ValueCountFrequency (%)
1 3721
 
2.1%
0 176283
97.9%

NACCLBDM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007338725806
Minimum0
Maximum1
Zeros178683
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:37.500382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0853516806
Coefficient of variation (CV)11.63031333
Kurtosis131.2745095
Mean0.007338725806
Median Absolute Deviation (MAD)0
Skewness11.54439478
Sum1321
Variance0.00728490938
MonotonicityNot monotonic
2023-09-07T18:31:37.611964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178683
99.3%
1 1321
 
0.7%
ValueCountFrequency (%)
0 178683
99.3%
1 1321
 
0.7%
ValueCountFrequency (%)
1 1321
 
0.7%
0 178683
99.3%

NACCACSF
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0720261772
Minimum0
Maximum1
Zeros167039
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:37.723456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2585319677
Coefficient of variation (CV)3.589416761
Kurtosis8.961739977
Mean0.0720261772
Median Absolute Deviation (MAD)0
Skewness3.310836813
Sum12965
Variance0.06683877831
MonotonicityNot monotonic
2023-09-07T18:31:37.834975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 167039
92.8%
1 12965
 
7.2%
ValueCountFrequency (%)
0 167039
92.8%
1 12965
 
7.2%
ValueCountFrequency (%)
1 12965
 
7.2%
0 167039
92.8%

NACCPCSF
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06558187596
Minimum0
Maximum1
Zeros168199
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:37.945614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2475504675
Coefficient of variation (CV)3.774678047
Kurtosis10.31861988
Mean0.06558187596
Median Absolute Deviation (MAD)0
Skewness3.509772818
Sum11805
Variance0.06128123395
MonotonicityNot monotonic
2023-09-07T18:31:38.057008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 168199
93.4%
1 11805
 
6.6%
ValueCountFrequency (%)
0 168199
93.4%
1 11805
 
6.6%
ValueCountFrequency (%)
1 11805
 
6.6%
0 168199
93.4%

NACCTCSF
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07012066399
Minimum0
Maximum1
Zeros167382
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:38.168529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2553509716
Coefficient of variation (CV)3.641593749
Kurtosis9.336832386
Mean0.07012066399
Median Absolute Deviation (MAD)0
Skewness3.367005887
Sum12622
Variance0.0652041187
MonotonicityNot monotonic
2023-09-07T18:31:38.289047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 167382
93.0%
1 12622
 
7.0%
ValueCountFrequency (%)
0 167382
93.0%
1 12622
 
7.0%
ValueCountFrequency (%)
1 12622
 
7.0%
0 167382
93.0%

NACCMRSA
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2146452301
Minimum0
Maximum1
Zeros141367
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:38.397099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4105771448
Coefficient of variation (CV)1.912817464
Kurtosis-0.06780833076
Mean0.2146452301
Median Absolute Deviation (MAD)0
Skewness1.390033245
Sum38637
Variance0.1685735918
MonotonicityNot monotonic
2023-09-07T18:31:38.512664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 141367
78.5%
1 38637
 
21.5%
ValueCountFrequency (%)
0 141367
78.5%
1 38637
 
21.5%
ValueCountFrequency (%)
1 38637
 
21.5%
0 141367
78.5%

NACCNMRI
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3806470967
Minimum0
Maximum14
Zeros141367
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:38.619179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9749813971
Coefficient of variation (CV)2.561378782
Kurtosis32.22237787
Mean0.3806470967
Median Absolute Deviation (MAD)0
Skewness4.588240131
Sum68518
Variance0.9505887248
MonotonicityNot monotonic
2023-09-07T18:31:38.747699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 141367
78.5%
1 23371
 
13.0%
2 7832
 
4.4%
3 4772
 
2.7%
4 1208
 
0.7%
5 493
 
0.3%
7 234
 
0.1%
6 212
 
0.1%
10 202
 
0.1%
8 140
 
0.1%
Other values (5) 173
 
0.1%
ValueCountFrequency (%)
0 141367
78.5%
1 23371
 
13.0%
2 7832
 
4.4%
3 4772
 
2.7%
4 1208
 
0.7%
ValueCountFrequency (%)
14 14
 
< 0.1%
13 4
 
< 0.1%
12 39
 
< 0.1%
11 30
 
< 0.1%
10 202
0.1%

NACCAPSA
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00843314593
Minimum0
Maximum1
Zeros178486
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:38.872219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09144437891
Coefficient of variation (CV)10.84344795
Kurtosis113.5914036
Mean0.00843314593
Median Absolute Deviation (MAD)0
Skewness10.75128557
Sum1518
Variance0.008362074435
MonotonicityNot monotonic
2023-09-07T18:31:38.987739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178486
99.2%
1 1518
 
0.8%
ValueCountFrequency (%)
0 178486
99.2%
1 1518
 
0.8%
ValueCountFrequency (%)
1 1518
 
0.8%
0 178486
99.2%

NACCNAPA
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00843314593
Minimum0
Maximum1
Zeros178486
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:39.097768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09144437891
Coefficient of variation (CV)10.84344795
Kurtosis113.5914036
Mean0.00843314593
Median Absolute Deviation (MAD)0
Skewness10.75128557
Sum1518
Variance0.008362074435
MonotonicityNot monotonic
2023-09-07T18:31:39.213304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178486
99.2%
1 1518
 
0.8%
ValueCountFrequency (%)
0 178486
99.2%
1 1518
 
0.8%
ValueCountFrequency (%)
1 1518
 
0.8%
0 178486
99.2%

TELCOV
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.747022288
Minimum-4
Maximum1
Zeros1353
Zeros (%)0.8%
Negative170626
Negative (%)94.8%
Memory size1.4 MiB
2023-09-07T18:31:39.329820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.082049602
Coefficient of variation (CV)-0.2887758649
Kurtosis14.5985995
Mean-3.747022288
Median Absolute Deviation (MAD)0
Skewness4.06439077
Sum-674479
Variance1.170831341
MonotonicityNot monotonic
2023-09-07T18:31:39.444335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 170626
94.8%
1 8025
 
4.5%
0 1353
 
0.8%
ValueCountFrequency (%)
-4 170626
94.8%
0 1353
 
0.8%
1 8025
 
4.5%
ValueCountFrequency (%)
1 8025
 
4.5%
0 1353
 
0.8%
-4 170626
94.8%

TELMOD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.718000711
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative170626
Negative (%)94.8%
Memory size1.4 MiB
2023-09-07T18:31:39.550849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.214582709
Coefficient of variation (CV)-0.3266762983
Kurtosis15.9549747
Mean-3.718000711
Median Absolute Deviation (MAD)0
Skewness4.175540637
Sum-669255
Variance1.475211158
MonotonicityNot monotonic
2023-09-07T18:31:39.671375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 170626
94.8%
1 6920
 
3.8%
3 1413
 
0.8%
2 1045
 
0.6%
ValueCountFrequency (%)
-4 170626
94.8%
1 6920
 
3.8%
2 1045
 
0.6%
3 1413
 
0.8%
ValueCountFrequency (%)
3 1413
 
0.8%
2 1045
 
0.6%
1 6920
 
3.8%
-4 170626
94.8%

ADGCGWAS
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5798593365
Minimum0
Maximum1
Zeros75627
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:39.797410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4935826575
Coefficient of variation (CV)0.8512110205
Kurtosis-1.895307902
Mean0.5798593365
Median Absolute Deviation (MAD)0
Skewness-0.3235941237
Sum104377
Variance0.2436238398
MonotonicityNot monotonic
2023-09-07T18:31:39.909976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 104377
58.0%
0 75627
42.0%
ValueCountFrequency (%)
0 75627
42.0%
1 104377
58.0%
ValueCountFrequency (%)
1 104377
58.0%
0 75627
42.0%

ADGCEXOM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2473556143
Minimum0
Maximum1
Zeros135479
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:40.314115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4314763593
Coefficient of variation (CV)1.744356442
Kurtosis-0.628572914
Mean0.2473556143
Median Absolute Deviation (MAD)0
Skewness1.171082435
Sum44525
Variance0.1861718486
MonotonicityNot monotonic
2023-09-07T18:31:40.424608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 135479
75.3%
1 44525
 
24.7%
ValueCountFrequency (%)
0 135479
75.3%
1 44525
 
24.7%
ValueCountFrequency (%)
1 44525
 
24.7%
0 135479
75.3%
Distinct55
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:40.555126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.599575565
Min length2

Characters and Unicode

Total characters827942
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row88
2nd row88
3rd row88
4th row88
5th row88
ValueCountFrequency (%)
adc 134583
42.6%
88 46401
 
14.7%
10 18457
 
5.8%
14 16026
 
5.1%
8 13338
 
4.2%
11 12166
 
3.9%
9 11493
 
3.6%
7 9938
 
3.1%
5 8442
 
2.7%
6 7931
 
2.5%
Other values (12) 37004
 
11.7%
2023-09-07T18:31:40.822696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135775
16.4%
A 134789
16.3%
D 134583
16.3%
C 134583
16.3%
8 106140
12.8%
1 76802
9.3%
4 22293
 
2.7%
0 18560
 
2.2%
3 11630
 
1.4%
9 11493
 
1.4%
Other values (15) 41294
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 404062
48.8%
Decimal Number 286703
34.6%
Space Separator 135775
 
16.4%
Other Punctuation 1083
 
0.1%
Lowercase Letter 317
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 106140
37.0%
1 76802
26.8%
4 22293
 
7.8%
0 18560
 
6.5%
3 11630
 
4.1%
9 11493
 
4.0%
5 11448
 
4.0%
2 10468
 
3.7%
7 9938
 
3.5%
6 7931
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 134789
33.4%
D 134583
33.3%
C 134583
33.3%
J 103
 
< 0.1%
W 2
 
< 0.1%
S 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
n 105
33.1%
u 103
32.5%
e 103
32.5%
r 2
 
0.6%
o 2
 
0.6%
g 2
 
0.6%
Space Separator
ValueCountFrequency (%)
135775
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1083
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423563
51.2%
Latin 404379
48.8%

Most frequent character per script

Common
ValueCountFrequency (%)
135775
32.1%
8 106140
25.1%
1 76802
18.1%
4 22293
 
5.3%
0 18560
 
4.4%
3 11630
 
2.7%
9 11493
 
2.7%
5 11448
 
2.7%
2 10468
 
2.5%
7 9938
 
2.3%
Other values (3) 9016
 
2.1%
Latin
ValueCountFrequency (%)
A 134789
33.3%
D 134583
33.3%
C 134583
33.3%
n 105
 
< 0.1%
J 103
 
< 0.1%
u 103
 
< 0.1%
e 103
 
< 0.1%
W 2
 
< 0.1%
r 2
 
< 0.1%
o 2
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 827942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135775
16.4%
A 134789
16.3%
D 134583
16.3%
C 134583
16.3%
8 106140
12.8%
1 76802
9.3%
4 22293
 
2.7%
0 18560
 
2.2%
3 11630
 
1.4%
9 11493
 
1.4%
Other values (15) 41294
 
5.0%

ADGCEXR
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

NGDSGWAS
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2517055177
Minimum0
Maximum1
Zeros134696
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:40.938224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4339941202
Coefficient of variation (CV)1.724213773
Kurtosis-0.6907169596
Mean0.2517055177
Median Absolute Deviation (MAD)0
Skewness1.14424242
Sum45308
Variance0.1883508964
MonotonicityNot monotonic
2023-09-07T18:31:41.062747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 134696
74.8%
1 45308
 
25.2%
ValueCountFrequency (%)
0 134696
74.8%
1 45308
 
25.2%
ValueCountFrequency (%)
1 45308
 
25.2%
0 134696
74.8%

NGDSEXOM
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1732572609
Minimum0
Maximum1
Zeros148817
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:41.192269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3784705778
Coefficient of variation (CV)2.184442809
Kurtosis0.9813905798
Mean0.1732572609
Median Absolute Deviation (MAD)0
Skewness1.726667216
Sum31187
Variance0.1432399782
MonotonicityNot monotonic
2023-09-07T18:31:41.303304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 148817
82.7%
1 31187
 
17.3%
ValueCountFrequency (%)
0 148817
82.7%
1 31187
 
17.3%
ValueCountFrequency (%)
1 31187
 
17.3%
0 148817
82.7%

NGDSWGS
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1808515366
Minimum0
Maximum1
Zeros147450
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:41.433814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3848961955
Coefficient of variation (CV)2.128243988
Kurtosis0.750231406
Mean0.1808515366
Median Absolute Deviation (MAD)0
Skewness1.658379652
Sum32554
Variance0.1481450813
MonotonicityNot monotonic
2023-09-07T18:31:41.551328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 147450
81.9%
1 32554
 
18.1%
ValueCountFrequency (%)
0 147450
81.9%
1 32554
 
18.1%
ValueCountFrequency (%)
1 32554
 
18.1%
0 147450
81.9%

NGDSWES
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09125908313
Minimum0
Maximum1
Zeros163577
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:41.665460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2879779915
Coefficient of variation (CV)3.155609082
Kurtosis6.058438627
Mean0.09125908313
Median Absolute Deviation (MAD)0
Skewness2.838727059
Sum16427
Variance0.0829313236
MonotonicityNot monotonic
2023-09-07T18:31:41.776980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 163577
90.9%
1 16427
 
9.1%
ValueCountFrequency (%)
0 163577
90.9%
1 16427
 
9.1%
ValueCountFrequency (%)
1 16427
 
9.1%
0 163577
90.9%

NGDSGWAC
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

NGDSEXAC
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

NGDSWGAC
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

NGDSWEAC
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 MiB

NACCNCRD
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6862736384
Minimum0
Maximum1
Zeros56472
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:41.900008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4640078962
Coefficient of variation (CV)0.6761266502
Kurtosis-1.355368462
Mean0.6862736384
Median Absolute Deviation (MAD)0
Skewness-0.8028988712
Sum123532
Variance0.2153033278
MonotonicityNot monotonic
2023-09-07T18:31:42.021525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 123532
68.6%
0 56472
31.4%
ValueCountFrequency (%)
0 56472
31.4%
1 123532
68.6%
ValueCountFrequency (%)
1 123532
68.6%
0 56472
31.4%

NACCAPOE
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.786671407
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:42.130079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.666488381
Coefficient of variation (CV)0.9568721931
Kurtosis1.167195678
Mean2.786671407
Median Absolute Deviation (MAD)1
Skewness1.624158551
Sum501612
Variance7.110160286
MonotonicityNot monotonic
2023-09-07T18:31:42.253659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 79849
44.4%
2 46332
25.7%
9 24762
 
13.8%
3 15268
 
8.5%
4 9175
 
5.1%
5 3971
 
2.2%
6 647
 
0.4%
ValueCountFrequency (%)
1 79849
44.4%
2 46332
25.7%
3 15268
 
8.5%
4 9175
 
5.1%
5 3971
 
2.2%
ValueCountFrequency (%)
9 24762
13.8%
6 647
 
0.4%
5 3971
 
2.2%
4 9175
 
5.1%
3 15268
8.5%

NACCNE4S
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.619469567
Minimum0
Maximum9
Zeros95764
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:31:42.372221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.000559945
Coefficient of variation (CV)1.852804156
Kurtosis2.081336256
Mean1.619469567
Median Absolute Deviation (MAD)0
Skewness1.961229965
Sum291511
Variance9.003359983
MonotonicityNot monotonic
2023-09-07T18:31:42.476717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 95764
53.2%
1 50303
27.9%
9 24762
 
13.8%
2 9175
 
5.1%
ValueCountFrequency (%)
0 95764
53.2%
1 50303
27.9%
2 9175
 
5.1%
9 24762
 
13.8%
ValueCountFrequency (%)
9 24762
 
13.8%
2 9175
 
5.1%
1 50303
27.9%
0 95764
53.2%

NPFORMVER
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.534160352
Minimum-4
Maximum11
Zeros0
Zeros (%)0.0%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:42.579233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile10
Maximum11
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.310868485
Coefficient of variation (CV)-3.461742756
Kurtosis0.8948448889
Mean-1.534160352
Median Absolute Deviation (MAD)0
Skewness1.69623225
Sum-276155
Variance28.20532407
MonotonicityNot monotonic
2023-09-07T18:31:42.690756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 148013
82.2%
10 18644
 
10.4%
9 8558
 
4.8%
11 4710
 
2.6%
8 78
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
1 1
 
< 0.1%
8 78
 
< 0.1%
9 8558
 
4.8%
10 18644
 
10.4%
ValueCountFrequency (%)
11 4710
 
2.6%
10 18644
10.4%
9 8558
4.8%
8 78
 
< 0.1%
1 1
 
< 0.1%

NPSEX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.024093909
Minimum-4
Maximum2
Zeros0
Zeros (%)0.0%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:42.800785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.109711871
Coefficient of variation (CV)-0.6976343772
Kurtosis1.042135546
Mean-3.024093909
Median Absolute Deviation (MAD)0
Skewness1.725070182
Sum-544349
Variance4.450884178
MonotonicityNot monotonic
2023-09-07T18:31:42.935295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 148013
82.2%
1 16279
 
9.0%
2 15712
 
8.7%
ValueCountFrequency (%)
-4 148013
82.2%
1 16279
 
9.0%
2 15712
 
8.7%
ValueCountFrequency (%)
2 15712
 
8.7%
1 16279
 
9.0%
-4 148013
82.2%

NPPMIH
Real number (ℝ)

Distinct393
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.323611698
Minimum-4.4
Maximum99.9
Zeros163
Zeros (%)0.1%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:43.085814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile15
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.73288726
Coefficient of variation (CV)-8.864297046
Kurtosis45.04954353
Mean-1.323611698
Median Absolute Deviation (MAD)0
Skewness6.174750664
Sum-238255.4
Variance137.6606435
MonotonicityNot monotonic
2023-09-07T18:31:43.241841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.4 156650
87.0%
99.9 1264
 
0.7%
12 726
 
0.4%
4 690
 
0.4%
5 640
 
0.4%
24 637
 
0.4%
6 588
 
0.3%
7 544
 
0.3%
8 530
 
0.3%
3 458
 
0.3%
Other values (383) 17277
 
9.6%
ValueCountFrequency (%)
-4.4 156650
87.0%
0 163
 
0.1%
0.5 5
 
< 0.1%
0.8 5
 
< 0.1%
1 28
 
< 0.1%
ValueCountFrequency (%)
99.9 1264
0.7%
99 18
 
< 0.1%
98.9 19
 
< 0.1%
98.4 4
 
< 0.1%
97.1 3
 
< 0.1%

NPFIX
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.331175974
Minimum-4
Maximum7
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:43.364356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum7
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.741218461
Coefficient of variation (CV)-0.5227038363
Kurtosis3.415392853
Mean-3.331175974
Median Absolute Deviation (MAD)0
Skewness2.269581148
Sum-599625
Variance3.031841729
MonotonicityNot monotonic
2023-09-07T18:31:43.471876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 156650
87.0%
1 20163
 
11.2%
2 3105
 
1.7%
7 86
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
1 20163
 
11.2%
2 3105
 
1.7%
7 86
 
< 0.1%
ValueCountFrequency (%)
7 86
 
< 0.1%
2 3105
 
1.7%
1 20163
 
11.2%
-4 156650
87.0%

NPWBRWT
Real number (ℝ)

Distinct670
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.3861914
Minimum-4
Maximum9999
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:43.608911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1205
Maximum9999
Range10003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation505.4444377
Coefficient of variation (CV)3.232027285
Kurtosis147.1284829
Mean156.3861914
Median Absolute Deviation (MAD)0
Skewness8.652477196
Sum28150140
Variance255474.0796
MonotonicityNot monotonic
2023-09-07T18:31:43.764431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 156650
87.0%
1100 550
 
0.3%
1200 505
 
0.3%
1150 432
 
0.2%
1050 391
 
0.2%
1210 340
 
0.2%
1130 340
 
0.2%
1250 338
 
0.2%
1120 320
 
0.2%
1080 318
 
0.2%
Other values (660) 19820
 
11.0%
ValueCountFrequency (%)
-4 156650
87.0%
100 20
 
< 0.1%
130 1
 
< 0.1%
527 11
 
< 0.1%
560 7
 
< 0.1%
ValueCountFrequency (%)
9999 185
0.1%
1700 5
 
< 0.1%
1668 1
 
< 0.1%
1666 8
 
< 0.1%
1643 10
 
< 0.1%

NPWBRF
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.3174985
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:43.884972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.78679736
Coefficient of variation (CV)-0.53859779
Kurtosis4.240462209
Mean-3.3174985
Median Absolute Deviation (MAD)0
Skewness2.354433492
Sum-597163
Variance3.192644807
MonotonicityNot monotonic
2023-09-07T18:31:43.997997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 156650
87.0%
1 18381
 
10.2%
2 4788
 
2.7%
8 185
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
1 18381
 
10.2%
2 4788
 
2.7%
8 185
 
0.1%
ValueCountFrequency (%)
8 185
 
0.1%
2 4788
 
2.7%
1 18381
 
10.2%
-4 156650
87.0%

NACCBRNN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.277599387
Minimum-4
Maximum9
Zeros31725
Zeros (%)17.6%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:44.113043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.585220099
Coefficient of variation (CV)-0.4836527935
Kurtosis4.557878774
Mean-3.277599387
Median Absolute Deviation (MAD)0
Skewness2.048582328
Sum-589981
Variance2.512922764
MonotonicityNot monotonic
2023-09-07T18:31:44.234558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 31725
 
17.6%
9 167
 
0.1%
8 67
 
< 0.1%
1 32
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 31725
 
17.6%
1 32
 
< 0.1%
8 67
 
< 0.1%
9 167
 
0.1%
ValueCountFrequency (%)
9 167
 
0.1%
8 67
 
< 0.1%
1 32
 
< 0.1%
0 31725
 
17.6%
-4 148013
82.2%

NPGRCCA
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.251444412
Minimum-4
Maximum9
Zeros3587
Zeros (%)2.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:44.351073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.042862717
Coefficient of variation (CV)-0.6282939082
Kurtosis8.095176478
Mean-3.251444412
Median Absolute Deviation (MAD)0
Skewness2.824332238
Sum-585273
Variance4.173288081
MonotonicityNot monotonic
2023-09-07T18:31:44.473589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
1 9171
 
5.1%
2 6433
 
3.6%
0 3587
 
2.0%
3 2823
 
1.6%
8 1239
 
0.7%
9 101
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 3587
 
2.0%
1 9171
 
5.1%
2 6433
 
3.6%
3 2823
 
1.6%
ValueCountFrequency (%)
9 101
 
0.1%
8 1239
 
0.7%
3 2823
 
1.6%
2 6433
3.6%
1 9171
5.1%

NPGRLA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.394830115
Minimum-4
Maximum9
Zeros17082
Zeros (%)9.5%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:44.580106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.70257539
Coefficient of variation (CV)-0.5015200562
Kurtosis14.61326992
Mean-3.394830115
Median Absolute Deviation (MAD)0
Skewness3.399608512
Sum-611083
Variance2.898762959
MonotonicityNot monotonic
2023-09-07T18:31:44.691640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 17082
 
9.5%
1 4959
 
2.8%
8 1259
 
0.7%
9 54
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 17082
 
9.5%
1 4959
 
2.8%
8 1259
 
0.7%
9 54
 
< 0.1%
ValueCountFrequency (%)
9 54
 
< 0.1%
8 1259
 
0.7%
1 4959
 
2.8%
0 17082
 
9.5%
-4 156650
87.0%

NPGRHA
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.262633053
Minimum-4
Maximum9
Zeros6052
Zeros (%)3.4%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:44.799668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011650624
Coefficient of variation (CV)-0.6165727472
Kurtosis7.707017145
Mean-3.262633053
Median Absolute Deviation (MAD)0
Skewness2.790776264
Sum-587287
Variance4.046738235
MonotonicityNot monotonic
2023-09-07T18:31:44.915185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
1 6205
 
3.4%
0 6052
 
3.4%
2 5610
 
3.1%
3 4415
 
2.5%
8 1005
 
0.6%
9 67
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 6052
 
3.4%
1 6205
 
3.4%
2 5610
 
3.1%
3 4415
 
2.5%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 1005
 
0.6%
3 4415
2.5%
2 5610
3.1%
1 6205
3.4%

NPGRSNH
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.359575343
Minimum-4
Maximum9
Zeros12051
Zeros (%)6.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:45.021707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.74812013
Coefficient of variation (CV)-0.520339612
Kurtosis9.133209561
Mean-3.359575343
Median Absolute Deviation (MAD)0
Skewness2.887656891
Sum-604737
Variance3.05592399
MonotonicityNot monotonic
2023-09-07T18:31:45.137227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
0 12051
 
6.7%
1 6263
 
3.5%
2 2971
 
1.7%
3 1399
 
0.8%
8 569
 
0.3%
9 101
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 12051
 
6.7%
1 6263
 
3.5%
2 2971
 
1.7%
3 1399
 
0.8%
ValueCountFrequency (%)
9 101
 
0.1%
8 569
 
0.3%
3 1399
 
0.8%
2 2971
1.7%
1 6263
3.5%

NPGRLCH
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.243966801
Minimum-4
Maximum9
Zeros8617
Zeros (%)4.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:45.250747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.128428747
Coefficient of variation (CV)-0.6561191521
Kurtosis10.1353619
Mean-3.243966801
Median Absolute Deviation (MAD)0
Skewness3.101911352
Sum-583927
Variance4.53020893
MonotonicityNot monotonic
2023-09-07T18:31:45.368260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
0 8617
 
4.8%
1 4845
 
2.7%
3 4619
 
2.6%
2 3072
 
1.7%
8 1982
 
1.1%
9 219
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 8617
 
4.8%
1 4845
 
2.7%
2 3072
 
1.7%
3 4619
 
2.6%
ValueCountFrequency (%)
9 219
 
0.1%
8 1982
1.1%
3 4619
2.6%
2 3072
1.7%
1 4845
2.7%

NACCAVAS
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.036171418
Minimum-4
Maximum9
Zeros6305
Zeros (%)3.5%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:45.475539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.133984049
Coefficient of variation (CV)-0.7028536125
Kurtosis2.733278297
Mean-3.036171418
Median Absolute Deviation (MAD)0
Skewness1.968864107
Sum-546523
Variance4.553887924
MonotonicityNot monotonic
2023-09-07T18:31:45.592071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 148013
82.2%
1 12267
 
6.8%
2 9015
 
5.0%
0 6305
 
3.5%
3 4022
 
2.2%
8 272
 
0.2%
9 110
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 6305
 
3.5%
1 12267
 
6.8%
2 9015
 
5.0%
3 4022
 
2.2%
ValueCountFrequency (%)
9 110
 
0.1%
8 272
 
0.2%
3 4022
 
2.2%
2 9015
5.0%
1 12267
6.8%

NPTAN
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.042349059
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:45.701100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile4
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.569090168
Coefficient of variation (CV)-0.8444429348
Kurtosis5.377960396
Mean-3.042349059
Median Absolute Deviation (MAD)0
Skewness2.553462709
Sum-547635
Variance6.600224291
MonotonicityNot monotonic
2023-09-07T18:31:45.816638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
2 10276
 
5.7%
4 8018
 
4.5%
8 1711
 
1.0%
7 1179
 
0.7%
3 1115
 
0.6%
1 1055
 
0.6%
ValueCountFrequency (%)
-4 156650
87.0%
1 1055
 
0.6%
2 10276
 
5.7%
3 1115
 
0.6%
4 8018
 
4.5%
ValueCountFrequency (%)
8 1711
 
1.0%
7 1179
 
0.7%
4 8018
4.5%
3 1115
 
0.6%
2 10276
5.7%

NPABAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.86486967
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:45.928179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile7
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.121949044
Coefficient of variation (CV)-1.089735103
Kurtosis5.323482634
Mean-2.86486967
Median Absolute Deviation (MAD)0
Skewness2.62312389
Sum-515688
Variance9.746565834
MonotonicityNot monotonic
2023-09-07T18:31:46.045695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
7 12915
 
7.2%
1 7787
 
4.3%
2 1416
 
0.8%
8 1236
 
0.7%
ValueCountFrequency (%)
-4 156650
87.0%
1 7787
 
4.3%
2 1416
 
0.8%
7 12915
 
7.2%
8 1236
 
0.7%
ValueCountFrequency (%)
8 1236
 
0.7%
7 12915
 
7.2%
2 1416
 
0.8%
1 7787
 
4.3%
-4 156650
87.0%

NPASAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.157663163
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:46.153212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.33725757
Coefficient of variation (CV)-0.7401858431
Kurtosis8.198446297
Mean-3.157663163
Median Absolute Deviation (MAD)0
Skewness2.913052905
Sum-568392
Variance5.462772951
MonotonicityNot monotonic
2023-09-07T18:31:46.266731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
1 11680
 
6.5%
2 7195
 
4.0%
7 3694
 
2.1%
8 785
 
0.4%
ValueCountFrequency (%)
-4 156650
87.0%
1 11680
 
6.5%
2 7195
 
4.0%
7 3694
 
2.1%
8 785
 
0.4%
ValueCountFrequency (%)
8 785
 
0.4%
7 3694
 
2.1%
2 7195
 
4.0%
1 11680
 
6.5%
-4 156650
87.0%

NPTDPAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.136291416
Minimum-4
Maximum8
Zeros0
Zeros (%)0.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:46.379248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum8
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.387118518
Coefficient of variation (CV)-0.7611277786
Kurtosis8.350621591
Mean-3.136291416
Median Absolute Deviation (MAD)0
Skewness2.909342596
Sum-564545
Variance5.698334821
MonotonicityNot monotonic
2023-09-07T18:31:46.491766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
2 13498
 
7.5%
1 6237
 
3.5%
8 3489
 
1.9%
7 130
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
1 6237
 
3.5%
2 13498
 
7.5%
7 130
 
0.1%
8 3489
 
1.9%
ValueCountFrequency (%)
8 3489
 
1.9%
7 130
 
0.1%
2 13498
 
7.5%
1 6237
 
3.5%
-4 156650
87.0%

NPHISMB
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.429812671
Minimum-4
Maximum1
Zeros14134
Zeros (%)7.9%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:46.599803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.487196501
Coefficient of variation (CV)-0.4336086673
Kurtosis3.27218065
Mean-3.429812671
Median Absolute Deviation (MAD)0
Skewness2.2677613
Sum-617380
Variance2.211753433
MonotonicityNot monotonic
2023-09-07T18:31:46.709322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 156650
87.0%
0 14134
 
7.9%
1 9220
 
5.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 14134
 
7.9%
1 9220
 
5.1%
ValueCountFrequency (%)
1 9220
 
5.1%
0 14134
 
7.9%
-4 156650
87.0%

NPHISG
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468556254
Minimum-4
Maximum1
Zeros21108
Zeros (%)11.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:46.815854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.380485646
Coefficient of variation (CV)-0.3980000739
Kurtosis3.062529973
Mean-3.468556254
Median Absolute Deviation (MAD)0
Skewness2.233585702
Sum-624354
Variance1.905740618
MonotonicityNot monotonic
2023-09-07T18:31:46.924386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 156650
87.0%
0 21108
 
11.7%
1 2246
 
1.2%
ValueCountFrequency (%)
-4 156650
87.0%
0 21108
 
11.7%
1 2246
 
1.2%
ValueCountFrequency (%)
1 2246
 
1.2%
0 21108
 
11.7%
-4 156650
87.0%

NPHISSS
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.475622764
Minimum-4
Maximum1
Zeros22380
Zeros (%)12.4%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:47.029894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.360000988
Coefficient of variation (CV)-0.3912970655
Kurtosis2.957430376
Mean-3.475622764
Median Absolute Deviation (MAD)0
Skewness2.21819421
Sum-625626
Variance1.849602688
MonotonicityNot monotonic
2023-09-07T18:31:47.143942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 156650
87.0%
0 22380
 
12.4%
1 974
 
0.5%
ValueCountFrequency (%)
-4 156650
87.0%
0 22380
 
12.4%
1 974
 
0.5%
ValueCountFrequency (%)
1 974
 
0.5%
0 22380
 
12.4%
-4 156650
87.0%

NPHIST
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.453428813
Minimum-4
Maximum1
Zeros18385
Zeros (%)10.2%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:47.249507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.423228952
Coefficient of variation (CV)-0.4121205414
Kurtosis3.20624536
Mean-3.453428813
Median Absolute Deviation (MAD)0
Skewness2.255684324
Sum-621631
Variance2.02558065
MonotonicityNot monotonic
2023-09-07T18:31:47.363024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 156650
87.0%
0 18385
 
10.2%
1 4969
 
2.8%
ValueCountFrequency (%)
-4 156650
87.0%
0 18385
 
10.2%
1 4969
 
2.8%
ValueCountFrequency (%)
1 4969
 
2.8%
0 18385
 
10.2%
-4 156650
87.0%

NPHISO
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.463667474
Minimum-4
Maximum1
Zeros20228
Zeros (%)11.2%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:47.474546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.394460373
Coefficient of variation (CV)-0.4025964916
Kurtosis3.120003751
Mean-3.463667474
Median Absolute Deviation (MAD)0
Skewness2.242224552
Sum-623474
Variance1.944519732
MonotonicityNot monotonic
2023-09-07T18:31:47.586074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 156650
87.0%
0 20228
 
11.2%
1 3126
 
1.7%
ValueCountFrequency (%)
-4 156650
87.0%
0 20228
 
11.2%
1 3126
 
1.7%
ValueCountFrequency (%)
1 3126
 
1.7%
0 20228
 
11.2%
-4 156650
87.0%

NPTHAL
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.039054688
Minimum-4
Maximum9
Zeros3053
Zeros (%)1.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:47.690592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile5
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.576280193
Coefficient of variation (CV)-0.8477241964
Kurtosis4.396869918
Mean-3.039054688
Median Absolute Deviation (MAD)0
Skewness2.458611457
Sum-547042
Variance6.637219633
MonotonicityNot monotonic
2023-09-07T18:31:47.808192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 156650
87.0%
5 9097
 
5.1%
4 4585
 
2.5%
0 3053
 
1.7%
3 3048
 
1.7%
1 1961
 
1.1%
2 1378
 
0.8%
8 216
 
0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 3053
 
1.7%
1 1961
 
1.1%
2 1378
 
0.8%
3 3048
 
1.7%
ValueCountFrequency (%)
9 16
 
< 0.1%
8 216
 
0.1%
5 9097
5.1%
4 4585
2.5%
3 3048
 
1.7%

NACCBRAA
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.557154285
Minimum-4
Maximum9
Zeros1485
Zeros (%)0.8%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:47.919716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile6
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.203501738
Coefficient of variation (CV)-1.252760444
Kurtosis1.863016046
Mean-2.557154285
Median Absolute Deviation (MAD)0
Skewness1.896671562
Sum-460298
Variance10.26242339
MonotonicityNot monotonic
2023-09-07T18:31:48.343414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4 148013
82.2%
6 9924
 
5.5%
5 5802
 
3.2%
4 4546
 
2.5%
3 3756
 
2.1%
2 3708
 
2.1%
1 2203
 
1.2%
0 1485
 
0.8%
7 427
 
0.2%
8 120
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 1485
 
0.8%
1 2203
 
1.2%
2 3708
 
2.1%
3 3756
 
2.1%
ValueCountFrequency (%)
9 20
 
< 0.1%
8 120
 
0.1%
7 427
 
0.2%
6 9924
5.5%
5 5802
3.2%

NACCNEUR
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.966511855
Minimum-4
Maximum9
Zeros7686
Zeros (%)4.3%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:48.452752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.285814295
Coefficient of variation (CV)-0.7705394102
Kurtosis1.91431239
Mean-2.966511855
Median Absolute Deviation (MAD)0
Skewness1.890600382
Sum-533984
Variance5.224946992
MonotonicityNot monotonic
2023-09-07T18:31:48.570271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 148013
82.2%
3 13294
 
7.4%
0 7686
 
4.3%
2 6520
 
3.6%
1 4402
 
2.4%
8 57
 
< 0.1%
9 32
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 7686
 
4.3%
1 4402
 
2.4%
2 6520
 
3.6%
3 13294
 
7.4%
ValueCountFrequency (%)
9 32
 
< 0.1%
8 57
 
< 0.1%
3 13294
7.4%
2 6520
3.6%
1 4402
 
2.4%

NPADNC
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.204989889
Minimum-4
Maximum9
Zeros2984
Zeros (%)1.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:48.676791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.120295565
Coefficient of variation (CV)-0.6615607657
Kurtosis5.127398795
Mean-3.204989889
Median Absolute Deviation (MAD)0
Skewness2.501035727
Sum-576911
Variance4.495653284
MonotonicityNot monotonic
2023-09-07T18:31:48.794309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
3 10080
 
5.6%
2 5432
 
3.0%
1 4343
 
2.4%
0 2984
 
1.7%
8 393
 
0.2%
9 122
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 2984
 
1.7%
1 4343
 
2.4%
2 5432
 
3.0%
3 10080
 
5.6%
ValueCountFrequency (%)
9 122
 
0.1%
8 393
 
0.2%
3 10080
5.6%
2 5432
3.0%
1 4343
2.4%

NACCDIFF
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.838120264
Minimum-4
Maximum9
Zeros4374
Zeros (%)2.4%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:48.902405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile3
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.619208326
Coefficient of variation (CV)-0.9228672791
Kurtosis3.46709513
Mean-2.838120264
Median Absolute Deviation (MAD)0
Skewness2.107010363
Sum-510873
Variance6.860252253
MonotonicityNot monotonic
2023-09-07T18:31:49.029916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 148013
82.2%
3 16215
 
9.0%
2 5326
 
3.0%
0 4374
 
2.4%
1 3836
 
2.1%
8 2114
 
1.2%
9 126
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 4374
 
2.4%
1 3836
 
2.1%
2 5326
 
3.0%
3 16215
 
9.0%
ValueCountFrequency (%)
9 126
 
0.1%
8 2114
 
1.2%
3 16215
9.0%
2 5326
 
3.0%
1 3836
 
2.1%

NACCVASC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.103008822
Minimum-4
Maximum9
Zeros597
Zeros (%)0.3%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:49.139434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.954244033
Coefficient of variation (CV)-0.6297900344
Kurtosis2.567730019
Mean-3.103008822
Median Absolute Deviation (MAD)0
Skewness1.88146082
Sum-558554
Variance3.81906974
MonotonicityNot monotonic
2023-09-07T18:31:49.254955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 148013
82.2%
1 31131
 
17.3%
0 597
 
0.3%
9 263
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 597
 
0.3%
1 31131
 
17.3%
9 263
 
0.1%
ValueCountFrequency (%)
9 263
 
0.1%
1 31131
 
17.3%
0 597
 
0.3%
-4 148013
82.2%

NACCAMY
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.090747983
Minimum-4
Maximum9
Zeros12579
Zeros (%)7.0%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:49.364476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.031504985
Coefficient of variation (CV)-0.6572858725
Kurtosis3.470071337
Mean-3.090747983
Median Absolute Deviation (MAD)0
Skewness2.067753401
Sum-556347
Variance4.127012504
MonotonicityNot monotonic
2023-09-07T18:31:49.491592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 148013
82.2%
0 12579
 
7.0%
1 9117
 
5.1%
2 6511
 
3.6%
3 3362
 
1.9%
8 318
 
0.2%
9 104
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 12579
 
7.0%
1 9117
 
5.1%
2 6511
 
3.6%
3 3362
 
1.9%
ValueCountFrequency (%)
9 104
 
0.1%
8 318
 
0.2%
3 3362
 
1.9%
2 6511
3.6%
1 9117
5.1%

NPLINF
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.716328526
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:31:49.601633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.266610425
Coefficient of variation (CV)-0.3408230505
Kurtosis16.63399162
Mean-3.716328526
Median Absolute Deviation (MAD)0
Skewness4.279569705
Sum-668954
Variance1.604301968
MonotonicityNot monotonic
2023-09-07T18:31:49.720222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7695
 
4.3%
1 917
 
0.5%
3 16
 
< 0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 917
 
0.5%
2 7695
 
4.3%
3 16
 
< 0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
9 15
 
< 0.1%
3 16
 
< 0.1%
2 7695
 
4.3%
1 917
 
0.5%
-4 171361
95.2%

NPLAC
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.719484011
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:31:49.831713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.253432869
Coefficient of variation (CV)-0.3369910626
Kurtosis16.73866115
Mean-3.719484011
Median Absolute Deviation (MAD)0
Skewness4.288950233
Sum-669522
Variance1.571093958
MonotonicityNot monotonic
2023-09-07T18:31:49.952293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7129
 
4.0%
1 1481
 
0.8%
3 19
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 1481
 
0.8%
2 7129
 
4.0%
3 19
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
9 14
 
< 0.1%
3 19
 
< 0.1%
2 7129
 
4.0%
1 1481
 
0.8%
-4 171361
95.2%

NPINF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.452623275
Minimum-4
Maximum9
Zeros19642
Zeros (%)10.9%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:50.061807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.447401285
Coefficient of variation (CV)-0.4192178439
Kurtosis6.749746714
Mean-3.452623275
Median Absolute Deviation (MAD)0
Skewness2.559891711
Sum-621486
Variance2.09497048
MonotonicityNot monotonic
2023-09-07T18:31:50.177321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 19642
 
10.9%
1 3514
 
2.0%
8 182
 
0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 19642
 
10.9%
1 3514
 
2.0%
8 182
 
0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
8 182
 
0.1%
1 3514
 
2.0%
0 19642
 
10.9%
-4 156650
87.0%

NPINF1A
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.400513322
Minimum-4
Maximum99
Zeros17608
Zeros (%)9.8%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:50.290844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.079202995
Coefficient of variation (CV)-1.199584477
Kurtosis461.3296941
Mean-3.400513322
Median Absolute Deviation (MAD)0
Skewness20.50346473
Sum-612106
Variance16.63989707
MonotonicityNot monotonic
2023-09-07T18:31:50.415361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4 160605
89.2%
0 17608
 
9.8%
1 976
 
0.5%
2 316
 
0.2%
88 289
 
0.2%
3 151
 
0.1%
99 27
 
< 0.1%
4 22
 
< 0.1%
5 8
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
-4 160605
89.2%
0 17608
 
9.8%
1 976
 
0.5%
2 316
 
0.2%
3 151
 
0.1%
ValueCountFrequency (%)
99 27
 
< 0.1%
88 289
0.2%
14 1
 
< 0.1%
6 1
 
< 0.1%
5 8
 
< 0.1%

NPINF1B
Real number (ℝ)

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.955400991
Minimum-4.4
Maximum99.9
Zeros13
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:50.555876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.91914333
Coefficient of variation (CV)5.634083575
Kurtosis5.133197949
Mean4.955400991
Median Absolute Deviation (MAD)0
Skewness2.669549999
Sum891992
Variance779.4785644
MonotonicityNot monotonic
2023-09-07T18:31:50.707911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 17898
 
9.9%
2 153
 
0.1%
1 137
 
0.1%
4 132
 
0.1%
3 121
 
0.1%
0.5 79
 
< 0.1%
5 79
 
< 0.1%
1.5 69
 
< 0.1%
6 65
 
< 0.1%
Other values (39) 666
 
0.4%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 13
 
< 0.1%
0.2 32
 
< 0.1%
0.3 34
 
< 0.1%
0.4 19
 
< 0.1%
ValueCountFrequency (%)
99.9 46
 
< 0.1%
88.8 17898
9.9%
16 1
 
< 0.1%
15 5
 
< 0.1%
13 2
 
< 0.1%

NPINF1D
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.42171174
Minimum-4.4
Maximum99.9
Zeros23
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:50.845008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.59938609
Coefficient of variation (CV)5.274973562
Kurtosis4.62575811
Mean5.42171174
Median Absolute Deviation (MAD)0
Skewness2.573701327
Sum975929.8
Variance817.9248847
MonotonicityNot monotonic
2023-09-07T18:31:50.976521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 18874
 
10.5%
2 87
 
< 0.1%
1 65
 
< 0.1%
99.9 58
 
< 0.1%
0.5 55
 
< 0.1%
3 39
 
< 0.1%
2.5 34
 
< 0.1%
1.5 26
 
< 0.1%
0 23
 
< 0.1%
Other values (16) 138
 
0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 23
 
< 0.1%
0.1 7
 
< 0.1%
0.2 9
 
< 0.1%
0.3 22
 
< 0.1%
ValueCountFrequency (%)
99.9 58
 
< 0.1%
88.8 18874
10.5%
10 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%

NPINF1F
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.561190307
Minimum-4.4
Maximum99.9
Zeros19
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:51.106551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.79074876
Coefficient of variation (CV)5.177083892
Kurtosis4.483821201
Mean5.561190307
Median Absolute Deviation (MAD)0
Skewness2.546181504
Sum1001036.5
Variance828.9072139
MonotonicityNot monotonic
2023-09-07T18:31:51.228065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19189
 
10.7%
1 36
 
< 0.1%
99.9 35
 
< 0.1%
2 25
 
< 0.1%
3 23
 
< 0.1%
0 19
 
< 0.1%
0.5 18
 
< 0.1%
1.5 18
 
< 0.1%
1.3 8
 
< 0.1%
Other values (6) 28
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 19
 
< 0.1%
0.2 7
 
< 0.1%
0.4 5
 
< 0.1%
0.5 18
 
< 0.1%
ValueCountFrequency (%)
99.9 35
 
< 0.1%
88.8 19189
10.7%
3 23
 
< 0.1%
2.5 1
 
< 0.1%
2 25
 
< 0.1%

NPINF2A
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.395274549
Minimum-4
Maximum99
Zeros18351
Zeros (%)10.2%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:51.342581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.214994083
Coefficient of variation (CV)-1.241429529
Kurtosis439.5378042
Mean-3.395274549
Median Absolute Deviation (MAD)0
Skewness20.10884902
Sum-611163
Variance17.76617512
MonotonicityNot monotonic
2023-09-07T18:31:51.461104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-4 160605
89.2%
0 18351
 
10.2%
1 513
 
0.3%
88 302
 
0.2%
2 126
 
0.1%
3 50
 
< 0.1%
99 37
 
< 0.1%
4 10
 
< 0.1%
6 7
 
< 0.1%
7 3
 
< 0.1%
ValueCountFrequency (%)
-4 160605
89.2%
0 18351
 
10.2%
1 513
 
0.3%
2 126
 
0.1%
3 50
 
< 0.1%
ValueCountFrequency (%)
99 37
 
< 0.1%
88 302
0.2%
7 3
 
< 0.1%
6 7
 
< 0.1%
4 10
 
< 0.1%

NPINF2B
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.323723362
Minimum-4.4
Maximum99.9
Zeros39
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:51.590621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.46522265
Coefficient of variation (CV)5.346863598
Kurtosis4.727143358
Mean5.323723362
Median Absolute Deviation (MAD)0
Skewness2.593196651
Sum958291.5
Variance810.2689005
MonotonicityNot monotonic
2023-09-07T18:31:51.734652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 18656
 
10.4%
1 96
 
0.1%
0.5 92
 
0.1%
0.3 73
 
< 0.1%
99.9 73
 
< 0.1%
1.5 57
 
< 0.1%
0 39
 
< 0.1%
0.8 33
 
< 0.1%
4 27
 
< 0.1%
Other values (26) 253
 
0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 39
 
< 0.1%
0.1 7
 
< 0.1%
0.2 24
 
< 0.1%
0.3 73
 
< 0.1%
ValueCountFrequency (%)
99.9 73
 
< 0.1%
88.8 18656
10.4%
12 5
 
< 0.1%
9 8
 
< 0.1%
8 3
 
< 0.1%

NPINF2D
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.556403747
Minimum-4.4
Maximum99.9
Zeros15
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:51.855231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.78666108
Coefficient of variation (CV)5.180808017
Kurtosis4.489164844
Mean5.556403747
Median Absolute Deviation (MAD)0
Skewness2.547215927
Sum1000174.9
Variance828.6718558
MonotonicityNot monotonic
2023-09-07T18:31:51.974747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19166
 
10.6%
99.9 48
 
< 0.1%
0.5 34
 
< 0.1%
1 31
 
< 0.1%
0.2 24
 
< 0.1%
0.3 22
 
< 0.1%
0.4 21
 
< 0.1%
0.1 18
 
< 0.1%
0 15
 
< 0.1%
Other values (3) 20
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 15
 
< 0.1%
0.1 18
 
< 0.1%
0.2 24
 
< 0.1%
0.3 22
 
< 0.1%
ValueCountFrequency (%)
99.9 48
 
< 0.1%
88.8 19166
10.6%
2 8
 
< 0.1%
1.5 9
 
< 0.1%
1 31
 
< 0.1%

NPINF2F
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.61817904
Minimum-4.4
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:52.091272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.87041491
Coefficient of variation (CV)5.138749532
Kurtosis4.429290355
Mean5.61817904
Median Absolute Deviation (MAD)0
Skewness2.535475895
Sum1011294.7
Variance833.5008573
MonotonicityNot monotonic
2023-09-07T18:31:52.206309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19292
 
10.7%
99.9 48
 
< 0.1%
0.2 20
 
< 0.1%
0.5 17
 
< 0.1%
0.3 7
 
< 0.1%
1.5 7
 
< 0.1%
1 6
 
< 0.1%
0.4 2
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0.2 20
 
< 0.1%
0.3 7
 
< 0.1%
0.4 2
 
< 0.1%
0.5 17
 
< 0.1%
ValueCountFrequency (%)
99.9 48
 
< 0.1%
88.8 19292
10.7%
1.5 7
 
< 0.1%
1 6
 
< 0.1%
0.5 17
 
< 0.1%

NPINF3A
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.387858048
Minimum-4
Maximum99
Zeros17591
Zeros (%)9.8%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:52.320831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.237365165
Coefficient of variation (CV)-1.250750505
Kurtosis436.1826926
Mean-3.387858048
Median Absolute Deviation (MAD)0
Skewness20.00695848
Sum-609828
Variance17.95526354
MonotonicityNot monotonic
2023-09-07T18:31:52.447361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 160605
89.2%
0 17591
 
9.8%
1 1039
 
0.6%
2 300
 
0.2%
88 296
 
0.2%
3 63
 
< 0.1%
99 44
 
< 0.1%
5 21
 
< 0.1%
6 18
 
< 0.1%
4 16
 
< 0.1%
Other values (2) 11
 
< 0.1%
ValueCountFrequency (%)
-4 160605
89.2%
0 17591
 
9.8%
1 1039
 
0.6%
2 300
 
0.2%
3 63
 
< 0.1%
ValueCountFrequency (%)
99 44
 
< 0.1%
88 296
0.2%
8 6
 
< 0.1%
7 5
 
< 0.1%
6 18
 
< 0.1%

NPINF3B
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.963334704
Minimum-4.4
Maximum99.9
Zeros29
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:52.576394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.95931864
Coefficient of variation (CV)5.633172112
Kurtosis5.114195075
Mean4.963334704
Median Absolute Deviation (MAD)0
Skewness2.666466832
Sum893420.1
Variance781.7234986
MonotonicityNot monotonic
2023-09-07T18:31:52.710448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 17912
 
10.0%
1 314
 
0.2%
0.5 207
 
0.1%
0.3 170
 
0.1%
2 107
 
0.1%
0.4 80
 
< 0.1%
99.9 79
 
< 0.1%
1.5 72
 
< 0.1%
0.8 62
 
< 0.1%
Other values (22) 396
 
0.2%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 29
 
< 0.1%
0.1 27
 
< 0.1%
0.2 58
 
< 0.1%
0.3 170
 
0.1%
ValueCountFrequency (%)
99.9 79
 
< 0.1%
88.8 17912
10.0%
14 11
 
< 0.1%
8 3
 
< 0.1%
7 11
 
< 0.1%

NPINF3D
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.438958579
Minimum-4.4
Maximum99.9
Zeros15
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:52.839964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.6259871
Coefficient of variation (CV)5.263137544
Kurtosis4.604820632
Mean5.438958579
Median Absolute Deviation (MAD)0
Skewness2.569750084
Sum979034.3
Variance819.4471372
MonotonicityNot monotonic
2023-09-07T18:31:52.965489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 18931
 
10.5%
0.3 105
 
0.1%
1 89
 
< 0.1%
0.4 65
 
< 0.1%
99.9 44
 
< 0.1%
0.5 38
 
< 0.1%
0.1 25
 
< 0.1%
0.7 25
 
< 0.1%
0.8 20
 
< 0.1%
Other values (6) 57
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 15
 
< 0.1%
0.1 25
 
< 0.1%
0.2 19
 
< 0.1%
0.3 105
 
0.1%
ValueCountFrequency (%)
99.9 44
 
< 0.1%
88.8 18931
10.5%
2 3
 
< 0.1%
1.3 4
 
< 0.1%
1.2 3
 
< 0.1%

NPINF3F
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.583543699
Minimum-4.4
Maximum99.9
Zeros9
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:53.083005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.82318259
Coefficient of variation (CV)5.162166563
Kurtosis4.462339362
Mean5.583543699
Median Absolute Deviation (MAD)0
Skewness2.541972702
Sum1005060.2
Variance830.7758544
MonotonicityNot monotonic
2023-09-07T18:31:53.204053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19226
 
10.7%
99.9 44
 
< 0.1%
0.2 29
 
< 0.1%
0.4 22
 
< 0.1%
0.3 21
 
< 0.1%
1 16
 
< 0.1%
0.6 12
 
< 0.1%
0 9
 
< 0.1%
0.1 7
 
< 0.1%
Other values (3) 13
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 9
 
< 0.1%
0.1 7
 
< 0.1%
0.2 29
 
< 0.1%
0.3 21
 
< 0.1%
ValueCountFrequency (%)
99.9 44
 
< 0.1%
88.8 19226
10.7%
1.3 4
 
< 0.1%
1.2 3
 
< 0.1%
1 16
 
< 0.1%

NPINF4A
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.388869136
Minimum-4
Maximum99
Zeros18310
Zeros (%)10.2%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:53.321572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.302677719
Coefficient of variation (CV)-1.269650006
Kurtosis427.5966684
Mean-3.388869136
Median Absolute Deviation (MAD)0
Skewness19.87207884
Sum-610010
Variance18.51303555
MonotonicityNot monotonic
2023-09-07T18:31:53.436113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 160605
89.2%
0 18310
 
10.2%
1 612
 
0.3%
88 302
 
0.2%
2 106
 
0.1%
99 50
 
< 0.1%
3 16
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
-4 160605
89.2%
0 18310
 
10.2%
1 612
 
0.3%
2 106
 
0.1%
3 16
 
< 0.1%
ValueCountFrequency (%)
99 50
 
< 0.1%
88 302
0.2%
4 3
 
< 0.1%
3 16
 
< 0.1%
2 106
 
0.1%

NPINF4B
Real number (ℝ)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.308879803
Minimum-4.4
Maximum99.9
Zeros3
Zeros (%)< 0.1%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:53.562607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.44464933
Coefficient of variation (CV)5.357938094
Kurtosis4.741266783
Mean5.308879803
Median Absolute Deviation (MAD)0
Skewness2.59595056
Sum955619.6
Variance809.0980755
MonotonicityNot monotonic
2023-09-07T18:31:53.694130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 18636
 
10.4%
1 154
 
0.1%
99.9 65
 
< 0.1%
0.5 57
 
< 0.1%
1.5 56
 
< 0.1%
0.4 55
 
< 0.1%
2 53
 
< 0.1%
0.3 45
 
< 0.1%
3 36
 
< 0.1%
Other values (17) 242
 
0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0 3
 
< 0.1%
0.1 20
 
< 0.1%
0.2 34
 
< 0.1%
0.3 45
 
< 0.1%
ValueCountFrequency (%)
99.9 65
 
< 0.1%
88.8 18636
10.4%
15 1
 
< 0.1%
6 11
 
< 0.1%
4 21
 
< 0.1%

NPINF4D
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.588263039
Minimum-4.4
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:53.816163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.83036869
Coefficient of variation (CV)5.159092994
Kurtosis4.45882974
Mean5.588263039
Median Absolute Deviation (MAD)0
Skewness2.541259972
Sum1005909.7
Variance831.190159
MonotonicityNot monotonic
2023-09-07T18:31:53.933683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19224
 
10.7%
99.9 54
 
< 0.1%
1 50
 
< 0.1%
0.5 26
 
< 0.1%
0.3 18
 
< 0.1%
0.1 8
 
< 0.1%
0.9 8
 
< 0.1%
0.4 7
 
< 0.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0.1 8
 
< 0.1%
0.3 18
 
< 0.1%
0.4 7
 
< 0.1%
0.5 26
 
< 0.1%
ValueCountFrequency (%)
99.9 54
 
< 0.1%
88.8 19224
10.7%
2 3
 
< 0.1%
1 50
 
< 0.1%
0.9 8
 
< 0.1%

NPINF4F
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.637918046
Minimum-4.4
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative160605
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:31:54.049206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-4.4
Q1-4.4
median-4.4
Q3-4.4
95-th percentile88.8
Maximum99.9
Range104.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.89730361
Coefficient of variation (CV)5.125527433
Kurtosis4.410509979
Mean5.637918046
Median Absolute Deviation (MAD)0
Skewness2.531777898
Sum1014847.8
Variance835.0541558
MonotonicityNot monotonic
2023-09-07T18:31:54.167721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4.4 160605
89.2%
88.8 19330
 
10.7%
99.9 50
 
< 0.1%
0.3 16
 
< 0.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
-4.4 160605
89.2%
0.3 16
 
< 0.1%
2 3
 
< 0.1%
88.8 19330
 
10.7%
99.9 50
 
< 0.1%
ValueCountFrequency (%)
99.9 50
 
< 0.1%
88.8 19330
 
10.7%
2 3
 
< 0.1%
0.3 16
 
< 0.1%
-4.4 160605
89.2%

NACCINF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.24704451
Minimum-4
Maximum9
Zeros26145
Zeros (%)14.5%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:54.272238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.653439137
Coefficient of variation (CV)-0.509213573
Kurtosis3.62331211
Mean-3.24704451
Median Absolute Deviation (MAD)0
Skewness1.992763416
Sum-584481
Variance2.733860978
MonotonicityNot monotonic
2023-09-07T18:31:54.394783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 26145
 
14.5%
1 5606
 
3.1%
8 195
 
0.1%
9 45
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 26145
 
14.5%
1 5606
 
3.1%
8 195
 
0.1%
9 45
 
< 0.1%
ValueCountFrequency (%)
9 45
 
< 0.1%
8 195
 
0.1%
1 5606
 
3.1%
0 26145
 
14.5%
-4 148013
82.2%

NPHEM
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.714167463
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:31:54.501817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.274627955
Coefficient of variation (CV)-0.3431799905
Kurtosis16.27526808
Mean-3.714167463
Median Absolute Deviation (MAD)0
Skewness4.255429802
Sum-668565
Variance1.624676423
MonotonicityNot monotonic
2023-09-07T18:31:54.612334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 8138
 
4.5%
1 480
 
0.3%
3 17
 
< 0.1%
9 8
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 480
 
0.3%
2 8138
 
4.5%
3 17
 
< 0.1%
9 8
 
< 0.1%
ValueCountFrequency (%)
9 8
 
< 0.1%
3 17
 
< 0.1%
2 8138
 
4.5%
1 480
 
0.3%
-4 171361
95.2%

NPHEMO
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.467317393
Minimum-4
Maximum9
Zeros22487
Zeros (%)12.5%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:54.719852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.40962321
Coefficient of variation (CV)-0.4065457674
Kurtosis7.55466494
Mean-3.467317393
Median Absolute Deviation (MAD)0
Skewness2.612281715
Sum-624131
Variance1.987037595
MonotonicityNot monotonic
2023-09-07T18:31:54.831388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22487
 
12.5%
1 639
 
0.4%
8 222
 
0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22487
 
12.5%
1 639
 
0.4%
8 222
 
0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
8 222
 
0.1%
1 639
 
0.4%
0 22487
 
12.5%
-4 156650
87.0%

NPHEMO1
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.569254017
Minimum-4
Maximum9
Zeros18138
Zeros (%)10.1%
Negative161245
Negative (%)89.6%
Memory size1.4 MiB
2023-09-07T18:31:54.938972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.300684871
Coefficient of variation (CV)-0.3644136464
Kurtosis12.63136236
Mean-3.569254017
Median Absolute Deviation (MAD)0
Skewness3.20202488
Sum-642480
Variance1.691781134
MonotonicityNot monotonic
2023-09-07T18:31:55.050513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 161245
89.6%
0 18138
 
10.1%
1 357
 
0.2%
8 233
 
0.1%
9 31
 
< 0.1%
ValueCountFrequency (%)
-4 161245
89.6%
0 18138
 
10.1%
1 357
 
0.2%
8 233
 
0.1%
9 31
 
< 0.1%
ValueCountFrequency (%)
9 31
 
< 0.1%
8 233
 
0.1%
1 357
 
0.2%
0 18138
 
10.1%
-4 161245
89.6%

NPHEMO2
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.569381792
Minimum-4
Maximum9
Zeros18312
Zeros (%)10.2%
Negative161253
Negative (%)89.6%
Memory size1.4 MiB
2023-09-07T18:31:55.155031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.304277977
Coefficient of variation (CV)-0.3654072478
Kurtosis13.47942189
Mean-3.569381792
Median Absolute Deviation (MAD)0
Skewness3.264767648
Sum-642503
Variance1.701141041
MonotonicityNot monotonic
2023-09-07T18:31:55.267547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 161253
89.6%
0 18312
 
10.2%
8 234
 
0.1%
1 151
 
0.1%
9 54
 
< 0.1%
ValueCountFrequency (%)
-4 161253
89.6%
0 18312
 
10.2%
1 151
 
0.1%
8 234
 
0.1%
9 54
 
< 0.1%
ValueCountFrequency (%)
9 54
 
< 0.1%
8 234
 
0.1%
1 151
 
0.1%
0 18312
 
10.2%
-4 161253
89.6%

NPHEMO3
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.56987067
Minimum-4
Maximum9
Zeros18401
Zeros (%)10.2%
Negative161253
Negative (%)89.6%
Memory size1.4 MiB
2023-09-07T18:31:55.669636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.302785786
Coefficient of variation (CV)-0.3649392112
Kurtosis13.52657637
Mean-3.56987067
Median Absolute Deviation (MAD)0
Skewness3.267058258
Sum-642591
Variance1.697250805
MonotonicityNot monotonic
2023-09-07T18:31:55.780150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 161253
89.6%
0 18401
 
10.2%
8 233
 
0.1%
1 62
 
< 0.1%
9 55
 
< 0.1%
ValueCountFrequency (%)
-4 161253
89.6%
0 18401
 
10.2%
1 62
 
< 0.1%
8 233
 
0.1%
9 55
 
< 0.1%
ValueCountFrequency (%)
9 55
 
< 0.1%
8 233
 
0.1%
1 62
 
< 0.1%
0 18401
 
10.2%
-4 161253
89.6%

NPMICRO
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.719956223
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:31:55.886270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.250563388
Coefficient of variation (CV)-0.3361769098
Kurtosis16.4745227
Mean-3.719956223
Median Absolute Deviation (MAD)0
Skewness4.273411139
Sum-669607
Variance1.563908786
MonotonicityNot monotonic
2023-09-07T18:31:55.999794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7114
 
4.0%
1 1510
 
0.8%
3 12
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 1510
 
0.8%
2 7114
 
4.0%
3 12
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
9 7
 
< 0.1%
3 12
 
< 0.1%
2 7114
 
4.0%
1 1510
 
0.8%
-4 171361
95.2%

NPOLD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.44144019
Minimum-4
Maximum9
Zeros17451
Zeros (%)9.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:56.110842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.474752703
Coefficient of variation (CV)-0.4285277737
Kurtosis6.061438869
Mean-3.44144019
Median Absolute Deviation (MAD)0
Skewness2.509952283
Sum-619473
Variance2.174895535
MonotonicityNot monotonic
2023-09-07T18:31:56.226354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 17451
 
9.7%
1 5729
 
3.2%
8 168
 
0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 17451
 
9.7%
1 5729
 
3.2%
8 168
 
0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
8 168
 
0.1%
1 5729
 
3.2%
0 17451
 
9.7%
-4 156650
87.0%

NPOLD1
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.525477212
Minimum-4
Maximum9
Zeros16782
Zeros (%)9.3%
Negative160353
Negative (%)89.1%
Memory size1.4 MiB
2023-09-07T18:31:56.333869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.408877029
Coefficient of variation (CV)-0.3996273253
Kurtosis11.52535458
Mean-3.525477212
Median Absolute Deviation (MAD)0
Skewness3.149200464
Sum-634600
Variance1.984934482
MonotonicityNot monotonic
2023-09-07T18:31:56.458385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 160353
89.1%
0 16782
 
9.3%
1 1429
 
0.8%
3 703
 
0.4%
2 442
 
0.2%
8 265
 
0.1%
9 30
 
< 0.1%
ValueCountFrequency (%)
-4 160353
89.1%
0 16782
 
9.3%
1 1429
 
0.8%
2 442
 
0.2%
3 703
 
0.4%
ValueCountFrequency (%)
9 30
 
< 0.1%
8 265
 
0.1%
3 703
0.4%
2 442
 
0.2%
1 1429
0.8%

NPOLD2
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.539332459
Minimum-4
Maximum9
Zeros18216
Zeros (%)10.1%
Negative160353
Negative (%)89.1%
Memory size1.4 MiB
2023-09-07T18:31:56.566631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.361659453
Coefficient of variation (CV)-0.3847221103
Kurtosis11.7175103
Mean-3.539332459
Median Absolute Deviation (MAD)0
Skewness3.131452876
Sum-637094
Variance1.854116466
MonotonicityNot monotonic
2023-09-07T18:31:56.684154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 160353
89.1%
0 18216
 
10.1%
1 605
 
0.3%
3 312
 
0.2%
8 275
 
0.2%
2 230
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
-4 160353
89.1%
0 18216
 
10.1%
1 605
 
0.3%
2 230
 
0.1%
3 312
 
0.2%
ValueCountFrequency (%)
9 13
 
< 0.1%
8 275
0.2%
3 312
0.2%
2 230
 
0.1%
1 605
0.3%

NPOLD3
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.522005067
Minimum-4
Maximum9
Zeros16490
Zeros (%)9.2%
Negative160353
Negative (%)89.1%
Memory size1.4 MiB
2023-09-07T18:31:56.792776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.421239244
Coefficient of variation (CV)-0.403531289
Kurtosis11.55650229
Mean-3.522005067
Median Absolute Deviation (MAD)0
Skewness3.159892159
Sum-633975
Variance2.01992099
MonotonicityNot monotonic
2023-09-07T18:31:56.906824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 160353
89.1%
0 16490
 
9.2%
1 1566
 
0.9%
3 836
 
0.5%
2 457
 
0.3%
8 269
 
0.1%
9 33
 
< 0.1%
ValueCountFrequency (%)
-4 160353
89.1%
0 16490
 
9.2%
1 1566
 
0.9%
2 457
 
0.3%
3 836
 
0.5%
ValueCountFrequency (%)
9 33
 
< 0.1%
8 269
 
0.1%
3 836
0.5%
2 457
 
0.3%
1 1566
0.9%

NPOLD4
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.537326948
Minimum-4
Maximum9
Zeros18175
Zeros (%)10.1%
Negative160353
Negative (%)89.1%
Memory size1.4 MiB
2023-09-07T18:31:57.013347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.374915208
Coefficient of variation (CV)-0.3886876242
Kurtosis13.05314084
Mean-3.537326948
Median Absolute Deviation (MAD)0
Skewness3.236859822
Sum-636733
Variance1.890391828
MonotonicityNot monotonic
2023-09-07T18:31:57.127867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 160353
89.1%
0 18175
 
10.1%
1 688
 
0.4%
8 294
 
0.2%
3 280
 
0.2%
2 161
 
0.1%
9 53
 
< 0.1%
ValueCountFrequency (%)
-4 160353
89.1%
0 18175
 
10.1%
1 688
 
0.4%
2 161
 
0.1%
3 280
 
0.2%
ValueCountFrequency (%)
9 53
 
< 0.1%
8 294
0.2%
3 280
0.2%
2 161
 
0.1%
1 688
0.4%

NACCMICR
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.240239106
Minimum-4
Maximum9
Zeros24559
Zeros (%)13.6%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:57.236382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.663535055
Coefficient of variation (CV)-0.5133988574
Kurtosis2.993399266
Mean-3.240239106
Median Absolute Deviation (MAD)0
Skewness1.933179034
Sum-583256
Variance2.767348878
MonotonicityNot monotonic
2023-09-07T18:31:57.351526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 24559
 
13.6%
1 7239
 
4.0%
8 180
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 24559
 
13.6%
1 7239
 
4.0%
8 180
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
8 180
 
0.1%
1 7239
 
4.0%
0 24559
 
13.6%
-4 148013
82.2%

NPOLDD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.440667985
Minimum-4
Maximum9
Zeros21797
Zeros (%)12.1%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:57.460021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.546322089
Coefficient of variation (CV)-0.4494249652
Kurtosis14.91209833
Mean-3.440667985
Median Absolute Deviation (MAD)0
Skewness3.310139704
Sum-619334
Variance2.391112004
MonotonicityNot monotonic
2023-09-07T18:31:57.577533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 21797
 
12.1%
1 777
 
0.4%
8 531
 
0.3%
9 249
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 21797
 
12.1%
1 777
 
0.4%
8 531
 
0.3%
9 249
 
0.1%
ValueCountFrequency (%)
9 249
 
0.1%
8 531
 
0.3%
1 777
 
0.4%
0 21797
 
12.1%
-4 156650
87.0%

NPOLDD1
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.538282483
Minimum-4
Maximum9
Zeros17758
Zeros (%)9.9%
Negative161059
Negative (%)89.5%
Memory size1.4 MiB
2023-09-07T18:31:57.684052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.453162949
Coefficient of variation (CV)-0.4106972681
Kurtosis20.67099664
Mean-3.538282483
Median Absolute Deviation (MAD)0
Skewness3.921061688
Sum-636905
Variance2.111682558
MonotonicityNot monotonic
2023-09-07T18:31:57.799571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 161059
89.5%
0 17758
 
9.9%
8 546
 
0.3%
9 249
 
0.1%
1 172
 
0.1%
3 110
 
0.1%
2 110
 
0.1%
ValueCountFrequency (%)
-4 161059
89.5%
0 17758
 
9.9%
1 172
 
0.1%
2 110
 
0.1%
3 110
 
0.1%
ValueCountFrequency (%)
9 249
0.1%
8 546
0.3%
3 110
 
0.1%
2 110
 
0.1%
1 172
 
0.1%

NPOLDD2
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.537360281
Minimum-4
Maximum9
Zeros17776
Zeros (%)9.9%
Negative161059
Negative (%)89.5%
Memory size1.4 MiB
2023-09-07T18:31:57.905656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.456718889
Coefficient of variation (CV)-0.4118095907
Kurtosis20.56269324
Mean-3.537360281
Median Absolute Deviation (MAD)0
Skewness3.918036119
Sum-636739
Variance2.122029922
MonotonicityNot monotonic
2023-09-07T18:31:58.020172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 161059
89.5%
0 17776
 
9.9%
8 544
 
0.3%
9 249
 
0.1%
3 229
 
0.1%
1 77
 
< 0.1%
2 70
 
< 0.1%
ValueCountFrequency (%)
-4 161059
89.5%
0 17776
 
9.9%
1 77
 
< 0.1%
2 70
 
< 0.1%
3 229
 
0.1%
ValueCountFrequency (%)
9 249
0.1%
8 544
0.3%
3 229
0.1%
2 70
 
< 0.1%
1 77
 
< 0.1%

NPOLDD3
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.537549166
Minimum-4
Maximum9
Zeros17740
Zeros (%)9.9%
Negative161059
Negative (%)89.5%
Memory size1.4 MiB
2023-09-07T18:31:58.125688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.456408905
Coefficient of variation (CV)-0.4116999756
Kurtosis20.68968606
Mean-3.537549166
Median Absolute Deviation (MAD)0
Skewness3.926102121
Sum-636773
Variance2.121126899
MonotonicityNot monotonic
2023-09-07T18:31:58.248205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 161059
89.5%
0 17740
 
9.9%
8 550
 
0.3%
9 252
 
0.1%
1 156
 
0.1%
3 145
 
0.1%
2 102
 
0.1%
ValueCountFrequency (%)
-4 161059
89.5%
0 17740
 
9.9%
1 156
 
0.1%
2 102
 
0.1%
3 145
 
0.1%
ValueCountFrequency (%)
9 252
0.1%
8 550
0.3%
3 145
 
0.1%
2 102
 
0.1%
1 156
 
0.1%

NPOLDD4
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.540493545
Minimum-4
Maximum9
Zeros17981
Zeros (%)10.0%
Negative161059
Negative (%)89.5%
Memory size1.4 MiB
2023-09-07T18:31:58.356738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.446608226
Coefficient of variation (CV)-0.4085894261
Kurtosis21.02275541
Mean-3.540493545
Median Absolute Deviation (MAD)0
Skewness3.941539863
Sum-637303
Variance2.092675358
MonotonicityNot monotonic
2023-09-07T18:31:58.479275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 161059
89.5%
0 17981
 
10.0%
8 548
 
0.3%
9 252
 
0.1%
1 103
 
0.1%
3 56
 
< 0.1%
2 5
 
< 0.1%
ValueCountFrequency (%)
-4 161059
89.5%
0 17981
 
10.0%
1 103
 
0.1%
2 5
 
< 0.1%
3 56
 
< 0.1%
ValueCountFrequency (%)
9 252
0.1%
8 548
0.3%
3 56
 
< 0.1%
2 5
 
< 0.1%
1 103
 
0.1%

NACCHEM
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.241927957
Minimum-4
Maximum9
Zeros29381
Zeros (%)16.3%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:58.586820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.725970877
Coefficient of variation (CV)-0.5323902628
Kurtosis9.26327453
Mean-3.241927957
Median Absolute Deviation (MAD)0
Skewness2.577579751
Sum-583560
Variance2.978975469
MonotonicityNot monotonic
2023-09-07T18:31:58.702719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 29381
 
16.3%
1 1847
 
1.0%
9 541
 
0.3%
8 222
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 29381
 
16.3%
1 1847
 
1.0%
8 222
 
0.1%
9 541
 
0.3%
ValueCountFrequency (%)
9 541
 
0.3%
8 222
 
0.1%
1 1847
 
1.0%
0 29381
 
16.3%
-4 148013
82.2%

NACCARTE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.933445923
Minimum-4
Maximum9
Zeros4961
Zeros (%)2.8%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:31:58.816237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.448358519
Coefficient of variation (CV)-0.8346356411
Kurtosis5.143019875
Mean-2.933445923
Median Absolute Deviation (MAD)0
Skewness2.329130504
Sum-528032
Variance5.994459438
MonotonicityNot monotonic
2023-09-07T18:31:58.936752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 148013
82.2%
1 10342
 
5.7%
2 9872
 
5.5%
0 4961
 
2.8%
3 4127
 
2.3%
8 2648
 
1.5%
9 41
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 4961
 
2.8%
1 10342
 
5.7%
2 9872
 
5.5%
3 4127
 
2.3%
ValueCountFrequency (%)
9 41
 
< 0.1%
8 2648
 
1.5%
3 4127
 
2.3%
2 9872
5.5%
1 10342
5.7%

NPWMR
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.285126997
Minimum-4
Maximum9
Zeros8343
Zeros (%)4.6%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:59.047271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.989899862
Coefficient of variation (CV)-0.6057299653
Kurtosis10.0901037
Mean-3.285126997
Median Absolute Deviation (MAD)0
Skewness3.050946545
Sum-591336
Variance3.959701461
MonotonicityNot monotonic
2023-09-07T18:31:59.164805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
0 8343
 
4.6%
1 6687
 
3.7%
2 4497
 
2.5%
3 2231
 
1.2%
8 1474
 
0.8%
9 122
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 8343
 
4.6%
1 6687
 
3.7%
2 4497
 
2.5%
3 2231
 
1.2%
ValueCountFrequency (%)
9 122
 
0.1%
8 1474
 
0.8%
3 2231
 
1.2%
2 4497
2.5%
1 6687
3.7%

NPPATH
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.418401813
Minimum-4
Maximum9
Zeros15873
Zeros (%)8.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:31:59.275318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.571671218
Coefficient of variation (CV)-0.4597678401
Kurtosis9.808617444
Mean-3.418401813
Median Absolute Deviation (MAD)0
Skewness2.876063454
Sum-615326
Variance2.470150419
MonotonicityNot monotonic
2023-09-07T18:31:59.389845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 15873
 
8.8%
1 6940
 
3.9%
8 535
 
0.3%
9 6
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 15873
 
8.8%
1 6940
 
3.9%
8 535
 
0.3%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
8 535
 
0.3%
1 6940
 
3.9%
0 15873
 
8.8%
-4 156650
87.0%

NACCNEC
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.310776427
Minimum-4
Maximum9
Zeros27544
Zeros (%)15.3%
Negative151158
Negative (%)84.0%
Memory size1.4 MiB
2023-09-07T18:31:59.500355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.688607746
Coefficient of variation (CV)-0.510033759
Kurtosis11.16758935
Mean-3.310776427
Median Absolute Deviation (MAD)0
Skewness2.882054336
Sum-595953
Variance2.851396121
MonotonicityNot monotonic
2023-09-07T18:31:59.616416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 151158
84.0%
0 27544
 
15.3%
8 1039
 
0.6%
1 250
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
-4 151158
84.0%
0 27544
 
15.3%
1 250
 
0.1%
8 1039
 
0.6%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
8 1039
 
0.6%
1 250
 
0.1%
0 27544
 
15.3%
-4 151158
84.0%

NPPATH2
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.517644052
Minimum-4
Maximum9
Zeros18534
Zeros (%)10.3%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:31:59.726933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433656546
Coefficient of variation (CV)-0.4075615737
Kurtosis15.64792535
Mean-3.517644052
Median Absolute Deviation (MAD)0
Skewness3.451131087
Sum-633190
Variance2.055371091
MonotonicityNot monotonic
2023-09-07T18:31:59.839449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 18534
 
10.3%
1 1060
 
0.6%
8 605
 
0.3%
9 10
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 18534
 
10.3%
1 1060
 
0.6%
8 605
 
0.3%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
8 605
 
0.3%
1 1060
 
0.6%
0 18534
 
10.3%
-4 159795
88.8%

NPPATH3
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.518538477
Minimum-4
Maximum9
Zeros18560
Zeros (%)10.3%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:31:59.947966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.42912757
Coefficient of variation (CV)-0.4061707948
Kurtosis15.47357026
Mean-3.518538477
Median Absolute Deviation (MAD)0
Skewness3.432988713
Sum-633351
Variance2.04240561
MonotonicityNot monotonic
2023-09-07T18:32:00.059142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 18560
 
10.3%
1 1054
 
0.6%
8 580
 
0.3%
9 15
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 18560
 
10.3%
1 1054
 
0.6%
8 580
 
0.3%
9 15
 
< 0.1%
ValueCountFrequency (%)
9 15
 
< 0.1%
8 580
 
0.3%
1 1054
 
0.6%
0 18560
 
10.3%
-4 159795
88.8%

NPPATH4
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.51716073
Minimum-4
Maximum9
Zeros18230
Zeros (%)10.1%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:00.171664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.431645987
Coefficient of variation (CV)-0.4070459376
Kurtosis15.14982477
Mean-3.51716073
Median Absolute Deviation (MAD)0
Skewness3.408430391
Sum-633103
Variance2.049610232
MonotonicityNot monotonic
2023-09-07T18:32:00.293185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 18230
 
10.1%
1 1395
 
0.8%
8 574
 
0.3%
9 10
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 18230
 
10.1%
1 1395
 
0.8%
8 574
 
0.3%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
8 574
 
0.3%
1 1395
 
0.8%
0 18230
 
10.1%
-4 159795
88.8%

NPPATH5
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.518932913
Minimum-4
Maximum9
Zeros18832
Zeros (%)10.5%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:00.405217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.431220015
Coefficient of variation (CV)-0.4067198921
Kurtosis15.95788147
Mean-3.518932913
Median Absolute Deviation (MAD)0
Skewness3.473981793
Sum-633422
Variance2.04839073
MonotonicityNot monotonic
2023-09-07T18:32:00.520724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 18832
 
10.5%
1 754
 
0.4%
8 603
 
0.3%
9 20
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 18832
 
10.5%
1 754
 
0.4%
8 603
 
0.3%
9 20
 
< 0.1%
ValueCountFrequency (%)
9 20
 
< 0.1%
8 603
 
0.3%
1 754
 
0.4%
0 18832
 
10.5%
-4 159795
88.8%

NPPATH6
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.519910669
Minimum-4
Maximum9
Zeros19002
Zeros (%)10.6%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:00.627286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.428284753
Coefficient of variation (CV)-0.4057730116
Kurtosis16.00815914
Mean-3.519910669
Median Absolute Deviation (MAD)0
Skewness3.476749766
Sum-633598
Variance2.039997334
MonotonicityNot monotonic
2023-09-07T18:32:00.741870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 19002
 
10.6%
8 609
 
0.3%
1 584
 
0.3%
9 14
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 19002
 
10.6%
1 584
 
0.3%
8 609
 
0.3%
9 14
 
< 0.1%
ValueCountFrequency (%)
9 14
 
< 0.1%
8 609
 
0.3%
1 584
 
0.3%
0 19002
 
10.6%
-4 159795
88.8%

NPPATH7
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.51362192
Minimum-4
Maximum9
Zeros19188
Zeros (%)10.7%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:00.847386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.468553954
Coefficient of variation (CV)-0.4179601528
Kurtosis18.6663383
Mean-3.51362192
Median Absolute Deviation (MAD)0
Skewness3.712318693
Sum-632466
Variance2.156650717
MonotonicityNot monotonic
2023-09-07T18:32:00.960871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 19188
 
10.7%
8 603
 
0.3%
1 234
 
0.1%
9 184
 
0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 19188
 
10.7%
1 234
 
0.1%
8 603
 
0.3%
9 184
 
0.1%
ValueCountFrequency (%)
9 184
 
0.1%
8 603
 
0.3%
1 234
 
0.1%
0 19188
 
10.7%
-4 159795
88.8%

NPPATH8
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.522721717
Minimum-4
Maximum9
Zeros19493
Zeros (%)10.8%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:01.066390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.420207374
Coefficient of variation (CV)-0.4031562774
Kurtosis16.28157605
Mean-3.522721717
Median Absolute Deviation (MAD)0
Skewness3.492634209
Sum-634104
Variance2.016988984
MonotonicityNot monotonic
2023-09-07T18:32:01.177906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 19493
 
10.8%
8 600
 
0.3%
1 96
 
0.1%
9 20
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 19493
 
10.8%
1 96
 
0.1%
8 600
 
0.3%
9 20
 
< 0.1%
ValueCountFrequency (%)
9 20
 
< 0.1%
8 600
 
0.3%
1 96
 
0.1%
0 19493
 
10.8%
-4 159795
88.8%

NPPATH9
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.512744161
Minimum-4
Maximum9
Zeros19355
Zeros (%)10.8%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:01.284422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.475792124
Coefficient of variation (CV)-0.4201251377
Kurtosis19.09603395
Mean-3.512744161
Median Absolute Deviation (MAD)0
Skewness3.755681566
Sum-632308
Variance2.177962394
MonotonicityNot monotonic
2023-09-07T18:32:01.397988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 19355
 
10.8%
8 654
 
0.4%
9 180
 
0.1%
1 20
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 19355
 
10.8%
1 20
 
< 0.1%
8 654
 
0.4%
9 180
 
0.1%
ValueCountFrequency (%)
9 180
 
0.1%
8 654
 
0.4%
1 20
 
< 0.1%
0 19355
 
10.8%
-4 159795
88.8%

NPPATH10
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.49807782
Minimum-4
Maximum9
Zeros19032
Zeros (%)10.6%
Negative159795
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:01.503494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.548686073
Coefficient of variation (CV)-0.4427248771
Kurtosis20.63545132
Mean-3.49807782
Median Absolute Deviation (MAD)0
Skewness3.954918801
Sum-629668
Variance2.398428554
MonotonicityNot monotonic
2023-09-07T18:32:01.616537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159795
88.8%
0 19032
 
10.6%
8 985
 
0.5%
9 180
 
0.1%
1 12
 
< 0.1%
ValueCountFrequency (%)
-4 159795
88.8%
0 19032
 
10.6%
1 12
 
< 0.1%
8 985
 
0.5%
9 180
 
0.1%
ValueCountFrequency (%)
9 180
 
0.1%
8 985
 
0.5%
1 12
 
< 0.1%
0 19032
 
10.6%
-4 159795
88.8%

NPPATH11
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.496377858
Minimum-4
Maximum9
Zeros15792
Zeros (%)8.8%
Negative159827
Negative (%)88.8%
Memory size1.4 MiB
2023-09-07T18:32:01.721084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.511533041
Coefficient of variation (CV)-0.4323139839
Kurtosis15.90172304
Mean-3.496377858
Median Absolute Deviation (MAD)0
Skewness3.52356357
Sum-629362
Variance2.284732134
MonotonicityNot monotonic
2023-09-07T18:32:01.831612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 159827
88.8%
0 15792
 
8.8%
1 3592
 
2.0%
8 783
 
0.4%
9 10
 
< 0.1%
ValueCountFrequency (%)
-4 159827
88.8%
0 15792
 
8.8%
1 3592
 
2.0%
8 783
 
0.4%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
8 783
 
0.4%
1 3592
 
2.0%
0 15792
 
8.8%
-4 159827
88.8%

NPPATHO
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.487961379
Minimum-4
Maximum1
Zeros21896
Zeros (%)12.2%
Negative157191
Negative (%)87.3%
Memory size1.4 MiB
2023-09-07T18:32:01.940134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.345902172
Coefficient of variation (CV)-0.3858707209
Kurtosis3.135073363
Mean-3.487961379
Median Absolute Deviation (MAD)0
Skewness2.258012652
Sum-627847
Variance1.811452655
MonotonicityNot monotonic
2023-09-07T18:32:02.047667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 157191
87.3%
0 21896
 
12.2%
1 917
 
0.5%
ValueCountFrequency (%)
-4 157191
87.3%
0 21896
 
12.2%
1 917
 
0.5%
ValueCountFrequency (%)
1 917
 
0.5%
0 21896
 
12.2%
-4 157191
87.3%

NPART
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.719017355
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:02.151184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.254967319
Coefficient of variation (CV)-0.3374459432
Kurtosis16.57268607
Mean-3.719017355
Median Absolute Deviation (MAD)0
Skewness4.278825557
Sum-669438
Variance1.574942972
MonotonicityNot monotonic
2023-09-07T18:32:02.271709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7205
 
4.0%
1 1389
 
0.8%
3 39
 
< 0.1%
9 10
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 1389
 
0.8%
2 7205
 
4.0%
3 39
 
< 0.1%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
3 39
 
< 0.1%
2 7205
 
4.0%
1 1389
 
0.8%
-4 171361
95.2%

NPOANG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.710695318
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:02.381227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.289985308
Coefficient of variation (CV)-0.3476397812
Kurtosis16.37270406
Mean-3.710695318
Median Absolute Deviation (MAD)0
Skewness4.259321175
Sum-667940
Variance1.664062095
MonotonicityNot monotonic
2023-09-07T18:32:02.499750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 8429
 
4.7%
3 164
 
0.1%
1 37
 
< 0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 37
 
< 0.1%
2 8429
 
4.7%
3 164
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
3 164
 
0.1%
2 8429
 
4.7%
1 37
 
< 0.1%
-4 171361
95.2%

NACCLEWY
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.133891469
Minimum-4
Maximum9
Zeros20631
Zeros (%)11.5%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:02.609386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile2
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.947007261
Coefficient of variation (CV)-0.6212746293
Kurtosis3.450358176
Mean-3.133891469
Median Absolute Deviation (MAD)0
Skewness2.096008573
Sum-564113
Variance3.790837273
MonotonicityNot monotonic
2023-09-07T18:32:02.726921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 148013
82.2%
0 20631
 
11.5%
2 5292
 
2.9%
3 3618
 
2.0%
1 1356
 
0.8%
4 912
 
0.5%
8 141
 
0.1%
9 41
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 20631
 
11.5%
1 1356
 
0.8%
2 5292
 
2.9%
3 3618
 
2.0%
ValueCountFrequency (%)
9 41
 
< 0.1%
8 141
 
0.1%
4 912
 
0.5%
3 3618
2.0%
2 5292
2.9%

NPLBOD
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.338553588
Minimum-4
Maximum9
Zeros14701
Zeros (%)8.2%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:02.839451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.809200846
Coefficient of variation (CV)-0.5419115789
Kurtosis6.877139696
Mean-3.338553588
Median Absolute Deviation (MAD)0
Skewness2.746444839
Sum-600953
Variance3.273207701
MonotonicityNot monotonic
2023-09-07T18:32:02.956971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-4 156650
87.0%
0 14701
 
8.2%
3 2578
 
1.4%
4 2509
 
1.4%
2 2063
 
1.1%
1 1027
 
0.6%
5 370
 
0.2%
8 80
 
< 0.1%
9 26
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 14701
 
8.2%
1 1027
 
0.6%
2 2063
 
1.1%
3 2578
 
1.4%
ValueCountFrequency (%)
9 26
 
< 0.1%
8 80
 
< 0.1%
5 370
 
0.2%
4 2509
1.4%
3 2578
1.4%

NPNLOSS
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.350631097
Minimum-4
Maximum9
Zeros9099
Zeros (%)5.1%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:03.069507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.749980525
Coefficient of variation (CV)-0.5222838548
Kurtosis7.445959561
Mean-3.350631097
Median Absolute Deviation (MAD)0
Skewness2.711985216
Sum-603127
Variance3.062431839
MonotonicityNot monotonic
2023-09-07T18:32:03.185025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
1 9482
 
5.3%
0 9099
 
5.1%
2 2725
 
1.5%
3 1586
 
0.9%
8 375
 
0.2%
9 87
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 9099
 
5.1%
1 9482
 
5.3%
2 2725
 
1.5%
3 1586
 
0.9%
ValueCountFrequency (%)
9 87
 
< 0.1%
8 375
 
0.2%
3 1586
 
0.9%
2 2725
 
1.5%
1 9482
5.3%

NPHIPSCL
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.409779783
Minimum-4
Maximum9
Zeros19319
Zeros (%)10.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:03.294561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.61567666
Coefficient of variation (CV)-0.4738360724
Kurtosis10.02464932
Mean-3.409779783
Median Absolute Deviation (MAD)0
Skewness2.960383388
Sum-613774
Variance2.610411069
MonotonicityNot monotonic
2023-09-07T18:32:03.412601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 156650
87.0%
0 19319
 
10.7%
3 2307
 
1.3%
2 696
 
0.4%
1 542
 
0.3%
8 439
 
0.2%
9 51
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 19319
 
10.7%
1 542
 
0.3%
2 696
 
0.4%
3 2307
 
1.3%
ValueCountFrequency (%)
9 51
 
< 0.1%
8 439
 
0.2%
3 2307
1.3%
2 696
 
0.4%
1 542
 
0.3%

NPSCL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.711134197
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:03.520138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.298815238
Coefficient of variation (CV)-0.3499779768
Kurtosis19.23123399
Mean-3.711134197
Median Absolute Deviation (MAD)0
Skewness4.440353065
Sum-668019
Variance1.686921023
MonotonicityNot monotonic
2023-09-07T18:32:03.637642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7252
 
4.0%
1 905
 
0.5%
3 393
 
0.2%
9 93
 
0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 905
 
0.5%
2 7252
 
4.0%
3 393
 
0.2%
9 93
 
0.1%
ValueCountFrequency (%)
9 93
 
0.1%
3 393
 
0.2%
2 7252
 
4.0%
1 905
 
0.5%
-4 171361
95.2%

NPFTDTAU
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.443440146
Minimum-4
Maximum9
Zeros19249
Zeros (%)10.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:03.747156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.491133971
Coefficient of variation (CV)-0.4330361232
Kurtosis9.097761819
Mean-3.443440146
Median Absolute Deviation (MAD)0
Skewness2.780194712
Sum-619833
Variance2.22348052
MonotonicityNot monotonic
2023-09-07T18:32:04.147267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 19249
 
10.7%
1 3727
 
2.1%
8 362
 
0.2%
9 16
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 19249
 
10.7%
1 3727
 
2.1%
8 362
 
0.2%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
8 362
 
0.2%
1 3727
 
2.1%
0 19249
 
10.7%
-4 156650
87.0%

NACCPICK
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.353125486
Minimum-4
Maximum9
Zeros27149
Zeros (%)15.1%
Negative151908
Negative (%)84.4%
Memory size1.4 MiB
2023-09-07T18:32:04.251781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.555918216
Coefficient of variation (CV)-0.4640202767
Kurtosis7.535253085
Mean-3.353125486
Median Absolute Deviation (MAD)0
Skewness2.476031137
Sum-603576
Variance2.420881494
MonotonicityNot monotonic
2023-09-07T18:32:04.366295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 151908
84.4%
0 27149
 
15.1%
1 506
 
0.3%
8 419
 
0.2%
9 22
 
< 0.1%
ValueCountFrequency (%)
-4 151908
84.4%
0 27149
 
15.1%
1 506
 
0.3%
8 419
 
0.2%
9 22
 
< 0.1%
ValueCountFrequency (%)
9 22
 
< 0.1%
8 419
 
0.2%
1 506
 
0.3%
0 27149
 
15.1%
-4 151908
84.4%

NPFTDT2
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.521299527
Minimum-4
Maximum9
Zeros18393
Zeros (%)10.2%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:04.481821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.497191098
Coefficient of variation (CV)-0.4251814099
Kurtosis20.54544231
Mean-3.521299527
Median Absolute Deviation (MAD)0
Skewness3.945584985
Sum-633848
Variance2.241581183
MonotonicityNot monotonic
2023-09-07T18:32:04.596347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 18393
 
10.2%
8 998
 
0.6%
9 35
 
< 0.1%
1 33
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 18393
 
10.2%
1 33
 
< 0.1%
8 998
 
0.6%
9 35
 
< 0.1%
ValueCountFrequency (%)
9 35
 
< 0.1%
8 998
 
0.6%
1 33
 
< 0.1%
0 18393
 
10.2%
-4 160545
89.2%

NACCCBD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.349442235
Minimum-4
Maximum9
Zeros27107
Zeros (%)15.1%
Negative151908
Negative (%)84.4%
Memory size1.4 MiB
2023-09-07T18:32:04.699867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.574069921
Coefficient of variation (CV)-0.4699498635
Kurtosis8.422208618
Mean-3.349442235
Median Absolute Deviation (MAD)0
Skewness2.567591139
Sum-602913
Variance2.477696116
MonotonicityNot monotonic
2023-09-07T18:32:04.815917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 151908
84.4%
0 27107
 
15.1%
8 486
 
0.3%
1 462
 
0.3%
9 41
 
< 0.1%
ValueCountFrequency (%)
-4 151908
84.4%
0 27107
 
15.1%
1 462
 
0.3%
8 486
 
0.3%
9 41
 
< 0.1%
ValueCountFrequency (%)
9 41
 
< 0.1%
8 486
 
0.3%
1 462
 
0.3%
0 27107
 
15.1%
-4 151908
84.4%

NACCPROG
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.346481189
Minimum-4
Maximum9
Zeros26592
Zeros (%)14.8%
Negative151908
Negative (%)84.4%
Memory size1.4 MiB
2023-09-07T18:32:04.923440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.581502727
Coefficient of variation (CV)-0.4725867673
Kurtosis8.321381039
Mean-3.346481189
Median Absolute Deviation (MAD)0
Skewness2.562314562
Sum-602380
Variance2.501150876
MonotonicityNot monotonic
2023-09-07T18:32:05.036961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 151908
84.4%
0 26592
 
14.8%
1 974
 
0.5%
8 492
 
0.3%
9 38
 
< 0.1%
ValueCountFrequency (%)
-4 151908
84.4%
0 26592
 
14.8%
1 974
 
0.5%
8 492
 
0.3%
9 38
 
< 0.1%
ValueCountFrequency (%)
9 38
 
< 0.1%
8 492
 
0.3%
1 974
 
0.5%
0 26592
 
14.8%
-4 151908
84.4%

NPFTDT5
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.534449234
Minimum-4
Maximum9
Zeros17744
Zeros (%)9.9%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:05.146490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.414687591
Coefficient of variation (CV)-0.4002568708
Kurtosis16.5889045
Mean-3.534449234
Median Absolute Deviation (MAD)0
Skewness3.549420819
Sum-636215
Variance2.001340979
MonotonicityNot monotonic
2023-09-07T18:32:05.262011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 17744
 
9.9%
1 1112
 
0.6%
8 574
 
0.3%
9 29
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 17744
 
9.9%
1 1112
 
0.6%
8 574
 
0.3%
9 29
 
< 0.1%
ValueCountFrequency (%)
9 29
 
< 0.1%
8 574
 
0.3%
1 1112
 
0.6%
0 17744
 
9.9%
-4 160545
89.2%

NPFTDT6
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.518071821
Minimum-4
Maximum9
Zeros18008
Zeros (%)10.0%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:05.366536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.508721651
Coefficient of variation (CV)-0.4288490196
Kurtosis20.42557151
Mean-3.518071821
Median Absolute Deviation (MAD)0
Skewness3.944848806
Sum-633267
Variance2.27624102
MonotonicityNot monotonic
2023-09-07T18:32:05.481061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 18008
 
10.0%
8 1026
 
0.6%
1 390
 
0.2%
9 35
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 18008
 
10.0%
1 390
 
0.2%
8 1026
 
0.6%
9 35
 
< 0.1%
ValueCountFrequency (%)
9 35
 
< 0.1%
8 1026
 
0.6%
1 390
 
0.2%
0 18008
 
10.0%
-4 160545
89.2%

NPFTDT7
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.547465612
Minimum-4
Maximum9
Zeros18915
Zeros (%)10.5%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:05.586576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.358254434
Coefficient of variation (CV)-0.3828802256
Kurtosis15.08311605
Mean-3.547465612
Median Absolute Deviation (MAD)0
Skewness3.385901188
Sum-638558
Variance1.844855107
MonotonicityNot monotonic
2023-09-07T18:32:05.699099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 18915
 
10.5%
8 386
 
0.2%
1 111
 
0.1%
9 47
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 18915
 
10.5%
1 111
 
0.1%
8 386
 
0.2%
9 47
 
< 0.1%
ValueCountFrequency (%)
9 47
 
< 0.1%
8 386
 
0.2%
1 111
 
0.1%
0 18915
 
10.5%
-4 160545
89.2%

NPFTDT8
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.548071154
Minimum-4
Maximum9
Zeros19019
Zeros (%)10.6%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:05.805619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.356170103
Coefficient of variation (CV)-0.3822274256
Kurtosis15.04500298
Mean-3.548071154
Median Absolute Deviation (MAD)0
Skewness3.383009728
Sum-638667
Variance1.839197348
MonotonicityNot monotonic
2023-09-07T18:32:05.917648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 19019
 
10.6%
8 399
 
0.2%
9 35
 
< 0.1%
1 6
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 19019
 
10.6%
1 6
 
< 0.1%
8 399
 
0.2%
9 35
 
< 0.1%
ValueCountFrequency (%)
9 35
 
< 0.1%
8 399
 
0.2%
1 6
 
< 0.1%
0 19019
 
10.6%
-4 160545
89.2%

NPFTDT9
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.546226751
Minimum-4
Maximum9
Zeros18520
Zeros (%)10.3%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:06.025246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.358836937
Coefficient of variation (CV)-0.3831782434
Kurtosis14.38567212
Mean-3.546226751
Median Absolute Deviation (MAD)0
Skewness3.334225205
Sum-638335
Variance1.846437822
MonotonicityNot monotonic
2023-09-07T18:32:06.141742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 18520
 
10.3%
1 528
 
0.3%
8 382
 
0.2%
9 29
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 18520
 
10.3%
1 528
 
0.3%
8 382
 
0.2%
9 29
 
< 0.1%
ValueCountFrequency (%)
9 29
 
< 0.1%
8 382
 
0.2%
1 528
 
0.3%
0 18520
 
10.3%
-4 160545
89.2%

NPFTDT10
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.537338059
Minimum-4
Maximum9
Zeros17951
Zeros (%)10.0%
Negative160545
Negative (%)89.2%
Memory size1.4 MiB
2023-09-07T18:32:06.251261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.401499511
Coefficient of variation (CV)-0.3962017448
Kurtosis16.18660483
Mean-3.537338059
Median Absolute Deviation (MAD)0
Skewness3.507105196
Sum-636735
Variance1.964200879
MonotonicityNot monotonic
2023-09-07T18:32:06.361823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160545
89.2%
0 17951
 
10.0%
1 950
 
0.5%
8 527
 
0.3%
9 31
 
< 0.1%
ValueCountFrequency (%)
-4 160545
89.2%
0 17951
 
10.0%
1 950
 
0.5%
8 527
 
0.3%
9 31
 
< 0.1%
ValueCountFrequency (%)
9 31
 
< 0.1%
8 527
 
0.3%
1 950
 
0.5%
0 17951
 
10.0%
-4 160545
89.2%

NPFRONT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.706017644
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:06.478361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.31128411
Coefficient of variation (CV)-0.3538256523
Kurtosis16.18649328
Mean-3.706017644
Median Absolute Deviation (MAD)0
Skewness4.253908777
Sum-667098
Variance1.719466018
MonotonicityNot monotonic
2023-09-07T18:32:06.590876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 171361
95.2%
2 7445
 
4.1%
3 1129
 
0.6%
1 69
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 69
 
< 0.1%
2 7445
 
4.1%
3 1129
 
0.6%
ValueCountFrequency (%)
3 1129
 
0.6%
2 7445
 
4.1%
1 69
 
< 0.1%
-4 171361
95.2%

NPTAU
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.713584143
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:06.701406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.277477219
Coefficient of variation (CV)-0.344001151
Kurtosis16.14194322
Mean-3.713584143
Median Absolute Deviation (MAD)0
Skewness4.251154045
Sum-668460
Variance1.631948046
MonotonicityNot monotonic
2023-09-07T18:32:06.814448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 171361
95.2%
2 7645
 
4.2%
1 650
 
0.4%
3 348
 
0.2%
ValueCountFrequency (%)
-4 171361
95.2%
1 650
 
0.4%
2 7645
 
4.2%
3 348
 
0.2%
ValueCountFrequency (%)
3 348
 
0.2%
2 7645
 
4.2%
1 650
 
0.4%
-4 171361
95.2%

NPFTD
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.657090954
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:06.926610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.538909849
Coefficient of variation (CV)-0.4208016341
Kurtosis17.84276139
Mean-3.657090954
Median Absolute Deviation (MAD)0
Skewness4.369350368
Sum-658291
Variance2.368243524
MonotonicityNot monotonic
2023-09-07T18:32:07.040056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 171361
95.2%
3 6247
 
3.5%
4 1473
 
0.8%
2 677
 
0.4%
1 131
 
0.1%
9 115
 
0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 131
 
0.1%
2 677
 
0.4%
3 6247
 
3.5%
4 1473
 
0.8%
ValueCountFrequency (%)
9 115
 
0.1%
4 1473
 
0.8%
3 6247
3.5%
2 677
 
0.4%
1 131
 
0.1%

NPFTDTDP
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.309826448
Minimum-4
Maximum9
Zeros18505
Zeros (%)10.3%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:07.149572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.073073518
Coefficient of variation (CV)-0.6263390394
Kurtosis16.14453288
Mean-3.309826448
Median Absolute Deviation (MAD)0
Skewness3.799375278
Sum-595782
Variance4.297633812
MonotonicityNot monotonic
2023-09-07T18:32:07.262090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 18505
 
10.3%
8 3631
 
2.0%
1 1149
 
0.6%
9 69
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 18505
 
10.3%
1 1149
 
0.6%
8 3631
 
2.0%
9 69
 
< 0.1%
ValueCountFrequency (%)
9 69
 
< 0.1%
8 3631
 
2.0%
1 1149
 
0.6%
0 18505
 
10.3%
-4 156650
87.0%

NPALSMND
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.407290949
Minimum-4
Maximum9
Zeros21559
Zeros (%)12.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:07.370609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.703945032
Coefficient of variation (CV)-0.5000879167
Kurtosis17.6084311
Mean-3.407290949
Median Absolute Deviation (MAD)0
Skewness3.698685514
Sum-613326
Variance2.903428673
MonotonicityNot monotonic
2023-09-07T18:32:07.496206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-4 156650
87.0%
0 21559
 
12.0%
8 1482
 
0.8%
1 167
 
0.1%
9 132
 
0.1%
5 11
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 21559
 
12.0%
1 167
 
0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
9 132
 
0.1%
8 1482
0.8%
5 11
 
< 0.1%
4 1
 
< 0.1%
2 2
 
< 0.1%

NPOFTD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.385513655
Minimum-4
Maximum9
Zeros21123
Zeros (%)11.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:07.602721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.796094509
Coefficient of variation (CV)-0.5305234869
Kurtosis17.84399992
Mean-3.385513655
Median Absolute Deviation (MAD)0
Skewness3.798010241
Sum-609406
Variance3.225955486
MonotonicityNot monotonic
2023-09-07T18:32:07.716746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 21123
 
11.7%
8 2061
 
1.1%
1 103
 
0.1%
9 67
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 21123
 
11.7%
1 103
 
0.1%
8 2061
 
1.1%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2061
 
1.1%
1 103
 
0.1%
0 21123
 
11.7%
-4 156650
87.0%

NPOFTD1
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.478661585
Minimum-4
Maximum9
Zeros16989
Zeros (%)9.4%
Negative160847
Negative (%)89.4%
Memory size1.4 MiB
2023-09-07T18:32:07.824262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721475705
Coefficient of variation (CV)-0.4948672537
Kurtosis22.3825711
Mean-3.478661585
Median Absolute Deviation (MAD)0
Skewness4.312747587
Sum-626173
Variance2.963478604
MonotonicityNot monotonic
2023-09-07T18:32:07.937776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160847
89.4%
0 16989
 
9.4%
8 2073
 
1.2%
9 67
 
< 0.1%
1 28
 
< 0.1%
ValueCountFrequency (%)
-4 160847
89.4%
0 16989
 
9.4%
1 28
 
< 0.1%
8 2073
 
1.2%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2073
 
1.2%
1 28
 
< 0.1%
0 16989
 
9.4%
-4 160847
89.4%

NPOFTD2
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.478683807
Minimum-4
Maximum9
Zeros17007
Zeros (%)9.4%
Negative160847
Negative (%)89.4%
Memory size1.4 MiB
2023-09-07T18:32:08.044296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721605062
Coefficient of variation (CV)-0.494901278
Kurtosis22.39370218
Mean-3.478683807
Median Absolute Deviation (MAD)0
Skewness4.313976341
Sum-626177
Variance2.963923989
MonotonicityNot monotonic
2023-09-07T18:32:08.155836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160847
89.4%
0 17007
 
9.4%
8 2075
 
1.2%
9 67
 
< 0.1%
1 8
 
< 0.1%
ValueCountFrequency (%)
-4 160847
89.4%
0 17007
 
9.4%
1 8
 
< 0.1%
8 2075
 
1.2%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2075
 
1.2%
1 8
 
< 0.1%
0 17007
 
9.4%
-4 160847
89.4%

NPOFTD3
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.47872825
Minimum-4
Maximum9
Zeros17015
Zeros (%)9.5%
Negative160847
Negative (%)89.4%
Memory size1.4 MiB
2023-09-07T18:32:08.262329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721502347
Coefficient of variation (CV)-0.4948654288
Kurtosis22.39891377
Mean-3.47872825
Median Absolute Deviation (MAD)0
Skewness4.314410142
Sum-626185
Variance2.963570332
MonotonicityNot monotonic
2023-09-07T18:32:08.375842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 160847
89.4%
0 17015
 
9.5%
8 2075
 
1.2%
9 67
 
< 0.1%
ValueCountFrequency (%)
-4 160847
89.4%
0 17015
 
9.5%
8 2075
 
1.2%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2075
 
1.2%
0 17015
 
9.5%
-4 160847
89.4%

NPOFTD4
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.479067132
Minimum-4
Maximum9
Zeros16992
Zeros (%)9.4%
Negative160847
Negative (%)89.4%
Memory size1.4 MiB
2023-09-07T18:32:08.488139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.719633768
Coefficient of variation (CV)-0.4942801341
Kurtosis22.38733789
Mean-3.479067132
Median Absolute Deviation (MAD)0
Skewness4.311630269
Sum-626246
Variance2.957140297
MonotonicityNot monotonic
2023-09-07T18:32:08.606661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160847
89.4%
0 16992
 
9.4%
8 2063
 
1.1%
9 67
 
< 0.1%
1 35
 
< 0.1%
ValueCountFrequency (%)
-4 160847
89.4%
0 16992
 
9.4%
1 35
 
< 0.1%
8 2063
 
1.1%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2063
 
1.1%
1 35
 
< 0.1%
0 16992
 
9.4%
-4 160847
89.4%

NPOFTD5
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.479183796
Minimum-4
Maximum9
Zeros17006
Zeros (%)9.4%
Negative160847
Negative (%)89.4%
Memory size1.4 MiB
2023-09-07T18:32:08.710774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.719273319
Coefficient of variation (CV)-0.4941599581
Kurtosis22.39674203
Mean-3.479183796
Median Absolute Deviation (MAD)0
Skewness4.312260178
Sum-626267
Variance2.955900744
MonotonicityNot monotonic
2023-09-07T18:32:08.822334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 160847
89.4%
0 17006
 
9.4%
8 2062
 
1.1%
9 67
 
< 0.1%
1 22
 
< 0.1%
ValueCountFrequency (%)
-4 160847
89.4%
0 17006
 
9.4%
1 22
 
< 0.1%
8 2062
 
1.1%
9 67
 
< 0.1%
ValueCountFrequency (%)
9 67
 
< 0.1%
8 2062
 
1.1%
1 22
 
< 0.1%
0 17006
 
9.4%
-4 160847
89.4%

NPFTDNO
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.705945423
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:08.930939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.320612579
Coefficient of variation (CV)-0.3563497106
Kurtosis19.06607703
Mean-3.705945423
Median Absolute Deviation (MAD)0
Skewness4.426349756
Sum-667085
Variance1.744017584
MonotonicityNot monotonic
2023-09-07T18:32:09.044433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 8070
 
4.5%
3 415
 
0.2%
9 102
 
0.1%
1 56
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 56
 
< 0.1%
2 8070
 
4.5%
3 415
 
0.2%
9 102
 
0.1%
ValueCountFrequency (%)
9 102
 
0.1%
3 415
 
0.2%
2 8070
 
4.5%
1 56
 
< 0.1%
-4 171361
95.2%

NPFTDSPC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.70866203
Minimum-4
Maximum3
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:09.152952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum3
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.298457624
Coefficient of variation (CV)-0.3501148429
Kurtosis16.05069806
Mean-3.70866203
Median Absolute Deviation (MAD)0
Skewness4.242419068
Sum-667574
Variance1.685992201
MonotonicityNot monotonic
2023-09-07T18:32:09.268475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 171361
95.2%
2 8037
 
4.5%
3 595
 
0.3%
1 11
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 11
 
< 0.1%
2 8037
 
4.5%
3 595
 
0.3%
ValueCountFrequency (%)
3 595
 
0.3%
2 8037
 
4.5%
1 11
 
< 0.1%
-4 171361
95.2%

NPTDPA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.646085643
Minimum-4
Maximum9
Zeros4594
Zeros (%)2.6%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:09.385995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.701707132
Coefficient of variation (CV)-1.398937008
Kurtosis4.411701249
Mean-2.646085643
Median Absolute Deviation (MAD)0
Skewness2.500717067
Sum-476306
Variance13.70263569
MonotonicityNot monotonic
2023-09-07T18:32:09.499515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
8 16234
 
9.0%
0 4594
 
2.6%
9 2237
 
1.2%
1 289
 
0.2%
ValueCountFrequency (%)
-4 156650
87.0%
0 4594
 
2.6%
1 289
 
0.2%
8 16234
 
9.0%
9 2237
 
1.2%
ValueCountFrequency (%)
9 2237
 
1.2%
8 16234
 
9.0%
1 289
 
0.2%
0 4594
 
2.6%
-4 156650
87.0%

NPTDPB
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.124380569
Minimum-4
Maximum9
Zeros10449
Zeros (%)5.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:09.613542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.608081284
Coefficient of variation (CV)-0.8347514735
Kurtosis10.83649588
Mean-3.124380569
Median Absolute Deviation (MAD)0
Skewness3.353603504
Sum-562401
Variance6.802087984
MonotonicityNot monotonic
2023-09-07T18:32:09.729057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 10449
 
5.8%
8 7242
 
4.0%
1 5588
 
3.1%
9 75
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 10449
 
5.8%
1 5588
 
3.1%
8 7242
 
4.0%
9 75
 
< 0.1%
ValueCountFrequency (%)
9 75
 
< 0.1%
8 7242
 
4.0%
1 5588
 
3.1%
0 10449
 
5.8%
-4 156650
87.0%

NPTDPC
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.193395702
Minimum-4
Maximum9
Zeros12187
Zeros (%)6.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:09.840575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.412566692
Coefficient of variation (CV)-0.7554862962
Kurtosis12.45073307
Mean-3.193395702
Median Absolute Deviation (MAD)0
Skewness3.503078517
Sum-574824
Variance5.820478041
MonotonicityNot monotonic
2023-09-07T18:32:09.956142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 12187
 
6.8%
8 5759
 
3.2%
1 5371
 
3.0%
9 37
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 12187
 
6.8%
1 5371
 
3.0%
8 5759
 
3.2%
9 37
 
< 0.1%
ValueCountFrequency (%)
9 37
 
< 0.1%
8 5759
 
3.2%
1 5371
 
3.0%
0 12187
 
6.8%
-4 156650
87.0%

NPTDPD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.107342059
Minimum-4
Maximum9
Zeros11021
Zeros (%)6.1%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:10.064662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.662023747
Coefficient of variation (CV)-0.8566883519
Kurtosis10.50816832
Mean-3.107342059
Median Absolute Deviation (MAD)0
Skewness3.327012185
Sum-559334
Variance7.086370431
MonotonicityNot monotonic
2023-09-07T18:32:10.182178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 11021
 
6.1%
8 7779
 
4.3%
1 4494
 
2.5%
9 60
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 11021
 
6.1%
1 4494
 
2.5%
8 7779
 
4.3%
9 60
 
< 0.1%
ValueCountFrequency (%)
9 60
 
< 0.1%
8 7779
 
4.3%
1 4494
 
2.5%
0 11021
 
6.1%
-4 156650
87.0%

NPTDPE
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.140496878
Minimum-4
Maximum9
Zeros14215
Zeros (%)7.9%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:10.289692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.592575585
Coefficient of variation (CV)-0.8255303813
Kurtosis11.37112846
Mean-3.140496878
Median Absolute Deviation (MAD)0
Skewness3.433499066
Sum-565302
Variance6.721448165
MonotonicityNot monotonic
2023-09-07T18:32:10.404214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 14215
 
7.9%
8 7417
 
4.1%
1 1692
 
0.9%
9 30
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 14215
 
7.9%
1 1692
 
0.9%
8 7417
 
4.1%
9 30
 
< 0.1%
ValueCountFrequency (%)
9 30
 
< 0.1%
8 7417
 
4.1%
1 1692
 
0.9%
0 14215
 
7.9%
-4 156650
87.0%

NPPDXA
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.452651052
Minimum-4
Maximum9
Zeros22281
Zeros (%)12.4%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:10.526241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.490068574
Coefficient of variation (CV)-0.4315723053
Kurtosis13.01852511
Mean-3.452651052
Median Absolute Deviation (MAD)0
Skewness3.103614231
Sum-621491
Variance2.220304356
MonotonicityNot monotonic
2023-09-07T18:32:10.645801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22281
 
12.4%
1 526
 
0.3%
8 340
 
0.2%
9 207
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22281
 
12.4%
1 526
 
0.3%
8 340
 
0.2%
9 207
 
0.1%
ValueCountFrequency (%)
9 207
 
0.1%
8 340
 
0.2%
1 526
 
0.3%
0 22281
 
12.4%
-4 156650
87.0%

NPPDXB
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468034044
Minimum-4
Maximum9
Zeros23048
Zeros (%)12.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:10.753342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.417562539
Coefficient of variation (CV)-0.4087510449
Kurtosis9.79617248
Mean-3.468034044
Median Absolute Deviation (MAD)0
Skewness2.778052557
Sum-624260
Variance2.009483552
MonotonicityNot monotonic
2023-09-07T18:32:10.865859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 23048
 
12.8%
9 207
 
0.1%
8 54
 
< 0.1%
1 45
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 23048
 
12.8%
1 45
 
< 0.1%
8 54
 
< 0.1%
9 207
 
0.1%
ValueCountFrequency (%)
9 207
 
0.1%
8 54
 
< 0.1%
1 45
 
< 0.1%
0 23048
 
12.8%
-4 156650
87.0%

NACCPRIO
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.238522477
Minimum-4
Maximum9
Zeros30824
Zeros (%)17.1%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:10.972390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.760443031
Coefficient of variation (CV)-0.5435945076
Kurtosis10.97397333
Mean-3.238522477
Median Absolute Deviation (MAD)0
Skewness2.780244585
Sum-582947
Variance3.099159666
MonotonicityNot monotonic
2023-09-07T18:32:11.086904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 30824
 
17.1%
9 616
 
0.3%
8 430
 
0.2%
1 121
 
0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 30824
 
17.1%
1 121
 
0.1%
8 430
 
0.2%
9 616
 
0.3%
ValueCountFrequency (%)
9 616
 
0.3%
8 430
 
0.2%
1 121
 
0.1%
0 30824
 
17.1%
-4 148013
82.2%

NPPDXD
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.444312349
Minimum-4
Maximum9
Zeros22552
Zeros (%)12.5%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:11.193421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.538346312
Coefficient of variation (CV)-0.4466337997
Kurtosis15.34037245
Mean-3.444312349
Median Absolute Deviation (MAD)0
Skewness3.343391273
Sum-619990
Variance2.366509375
MonotonicityNot monotonic
2023-09-07T18:32:11.309449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22552
 
12.5%
8 552
 
0.3%
9 243
 
0.1%
1 7
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22552
 
12.5%
1 7
 
< 0.1%
8 552
 
0.3%
9 243
 
0.1%
ValueCountFrequency (%)
9 243
 
0.1%
8 552
 
0.3%
1 7
 
< 0.1%
0 22552
 
12.5%
-4 156650
87.0%

NPPDXE
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.461234195
Minimum-4
Maximum9
Zeros22906
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:11.415993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.453050733
Coefficient of variation (CV)-0.4198071126
Kurtosis11.81877091
Mean-3.461234195
Median Absolute Deviation (MAD)0
Skewness2.973568077
Sum-623036
Variance2.111356434
MonotonicityNot monotonic
2023-09-07T18:32:11.528579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22906
 
12.7%
8 212
 
0.1%
9 204
 
0.1%
1 32
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22906
 
12.7%
1 32
 
< 0.1%
8 212
 
0.1%
9 204
 
0.1%
ValueCountFrequency (%)
9 204
 
0.1%
8 212
 
0.1%
1 32
 
< 0.1%
0 22906
 
12.7%
-4 156650
87.0%

NPPDXF
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.45731206
Minimum-4
Maximum9
Zeros22838
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:11.642072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.473473735
Coefficient of variation (CV)-0.4261905519
Kurtosis12.85453934
Mean-3.45731206
Median Absolute Deviation (MAD)0
Skewness3.076627784
Sum-622330
Variance2.171124847
MonotonicityNot monotonic
2023-09-07T18:32:11.754598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22838
 
12.7%
8 294
 
0.2%
9 212
 
0.1%
1 10
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22838
 
12.7%
1 10
 
< 0.1%
8 294
 
0.2%
9 212
 
0.1%
ValueCountFrequency (%)
9 212
 
0.1%
8 294
 
0.2%
1 10
 
< 0.1%
0 22838
 
12.7%
-4 156650
87.0%

NPPDXG
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.469100687
Minimum-4
Maximum9
Zeros23077
Zeros (%)12.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:11.863111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.412088988
Coefficient of variation (CV)-0.4070475653
Kurtosis9.475061416
Mean-3.469100687
Median Absolute Deviation (MAD)0
Skewness2.747077727
Sum-624452
Variance1.993995311
MonotonicityNot monotonic
2023-09-07T18:32:11.973627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 23077
 
12.8%
9 212
 
0.1%
1 40
 
< 0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 23077
 
12.8%
1 40
 
< 0.1%
8 25
 
< 0.1%
9 212
 
0.1%
ValueCountFrequency (%)
9 212
 
0.1%
8 25
 
< 0.1%
1 40
 
< 0.1%
0 23077
 
12.8%
-4 156650
87.0%

NPPDXH
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468800693
Minimum-4
Maximum9
Zeros23071
Zeros (%)12.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:12.079149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.41378096
Coefficient of variation (CV)-0.4075705365
Kurtosis9.613595002
Mean-3.468800693
Median Absolute Deviation (MAD)0
Skewness2.758965984
Sum-624398
Variance1.998776602
MonotonicityNot monotonic
2023-09-07T18:32:12.190667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 23071
 
12.8%
9 218
 
0.1%
1 40
 
< 0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 23071
 
12.8%
1 40
 
< 0.1%
8 25
 
< 0.1%
9 218
 
0.1%
ValueCountFrequency (%)
9 218
 
0.1%
8 25
 
< 0.1%
1 40
 
< 0.1%
0 23071
 
12.8%
-4 156650
87.0%

NPPDXI
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468406258
Minimum-4
Maximum9
Zeros22952
Zeros (%)12.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:12.300193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.414039383
Coefficient of variation (CV)-0.4076913943
Kurtosis9.445113989
Mean-3.468406258
Median Absolute Deviation (MAD)0
Skewness2.74592227
Sum-624327
Variance1.999507377
MonotonicityNot monotonic
2023-09-07T18:32:12.432245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22952
 
12.8%
9 212
 
0.1%
1 165
 
0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22952
 
12.8%
1 165
 
0.1%
8 25
 
< 0.1%
9 212
 
0.1%
ValueCountFrequency (%)
9 212
 
0.1%
8 25
 
< 0.1%
1 165
 
0.1%
0 22952
 
12.8%
-4 156650
87.0%

NPPDXJ
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468728473
Minimum-4
Maximum9
Zeros22970
Zeros (%)12.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:12.542794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.412426965
Coefficient of variation (CV)-0.4071886791
Kurtosis9.332250584
Mean-3.468728473
Median Absolute Deviation (MAD)0
Skewness2.736106917
Sum-624385
Variance1.994949932
MonotonicityNot monotonic
2023-09-07T18:32:12.659310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22970
 
12.8%
9 207
 
0.1%
1 152
 
0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22970
 
12.8%
1 152
 
0.1%
8 25
 
< 0.1%
9 207
 
0.1%
ValueCountFrequency (%)
9 207
 
0.1%
8 25
 
< 0.1%
1 152
 
0.1%
0 22970
 
12.8%
-4 156650
87.0%

NPPDXK
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.467756272
Minimum-4
Maximum9
Zeros22795
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:12.764831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.415155762
Coefficient of variation (CV)-0.4080897418
Kurtosis9.291463751
Mean-3.467756272
Median Absolute Deviation (MAD)0
Skewness2.734544033
Sum-624210
Variance2.00266583
MonotonicityNot monotonic
2023-09-07T18:32:13.182917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22795
 
12.7%
1 327
 
0.2%
9 207
 
0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22795
 
12.7%
1 327
 
0.2%
8 25
 
< 0.1%
9 207
 
0.1%
ValueCountFrequency (%)
9 207
 
0.1%
8 25
 
< 0.1%
1 327
 
0.2%
0 22795
 
12.7%
-4 156650
87.0%

NPPDXL
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.468567365
Minimum-4
Maximum9
Zeros22917
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:13.288499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.412454855
Coefficient of variation (CV)-0.4072156329
Kurtosis9.249277329
Mean-3.468567365
Median Absolute Deviation (MAD)0
Skewness2.729628617
Sum-624356
Variance1.995028717
MonotonicityNot monotonic
2023-09-07T18:32:13.400022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22917
 
12.7%
1 208
 
0.1%
9 204
 
0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22917
 
12.7%
1 208
 
0.1%
8 25
 
< 0.1%
9 204
 
0.1%
ValueCountFrequency (%)
9 204
 
0.1%
8 25
 
< 0.1%
1 208
 
0.1%
0 22917
 
12.7%
-4 156650
87.0%

NPPDXM
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.460328659
Minimum-4
Maximum9
Zeros22831
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:13.506174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.457027679
Coefficient of variation (CV)-0.4210662692
Kurtosis11.99515051
Mean-3.460328659
Median Absolute Deviation (MAD)0
Skewness2.99027097
Sum-622873
Variance2.122929656
MonotonicityNot monotonic
2023-09-07T18:32:13.618201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22831
 
12.7%
9 215
 
0.1%
8 212
 
0.1%
1 96
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22831
 
12.7%
1 96
 
0.1%
8 212
 
0.1%
9 215
 
0.1%
ValueCountFrequency (%)
9 215
 
0.1%
8 212
 
0.1%
1 96
 
0.1%
0 22831
 
12.7%
-4 156650
87.0%

NPPDXN
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.467272949
Minimum-4
Maximum9
Zeros22929
Zeros (%)12.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:13.726787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.420145052
Coefficient of variation (CV)-0.4095855945
Kurtosis9.86492204
Mean-3.467272949
Median Absolute Deviation (MAD)0
Skewness2.784203493
Sum-624123
Variance2.016811969
MonotonicityNot monotonic
2023-09-07T18:32:13.843302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 22929
 
12.7%
9 218
 
0.1%
1 163
 
0.1%
8 44
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 22929
 
12.7%
1 163
 
0.1%
8 44
 
< 0.1%
9 218
 
0.1%
ValueCountFrequency (%)
9 218
 
0.1%
8 44
 
< 0.1%
1 163
 
0.1%
0 22929
 
12.7%
-4 156650
87.0%

NACCDOWN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.046104531
Minimum-4
Maximum7
Zeros0
Zeros (%)0.0%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:13.951819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile7
Maximum7
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.203558921
Coefficient of variation (CV)-2.054420416
Kurtosis0.8464622714
Mean-2.046104531
Median Absolute Deviation (MAD)0
Skewness1.686991569
Sum-368307
Variance17.6699076
MonotonicityNot monotonic
2023-09-07T18:32:14.060360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 148013
82.2%
7 31959
 
17.8%
1 32
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
1 32
 
< 0.1%
7 31959
 
17.8%
ValueCountFrequency (%)
7 31959
 
17.8%
1 32
 
< 0.1%
-4 148013
82.2%

NPPDXP
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.893685696
Minimum-4
Maximum9
Zeros10515
Zeros (%)5.8%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:14.163507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.231969752
Coefficient of variation (CV)-1.116904216
Kurtosis7.370846534
Mean-2.893685696
Median Absolute Deviation (MAD)0
Skewness2.967498314
Sum-520875
Variance10.44562848
MonotonicityNot monotonic
2023-09-07T18:32:14.279024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 10515
 
5.8%
8 8658
 
4.8%
9 4035
 
2.2%
1 146
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 10515
 
5.8%
1 146
 
0.1%
8 8658
 
4.8%
9 4035
 
2.2%
ValueCountFrequency (%)
9 4035
 
2.2%
8 8658
 
4.8%
1 146
 
0.1%
0 10515
 
5.8%
-4 156650
87.0%

NPPDXQ
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.884691451
Minimum-4
Maximum9
Zeros10261
Zeros (%)5.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:14.388541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile8
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.250971606
Coefficient of variation (CV)-1.126973772
Kurtosis7.241063317
Mean-2.884691451
Median Absolute Deviation (MAD)0
Skewness2.949003934
Sum-519256
Variance10.56881639
MonotonicityNot monotonic
2023-09-07T18:32:14.509051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 156650
87.0%
0 10261
 
5.7%
8 8813
 
4.9%
9 4070
 
2.3%
1 210
 
0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 10261
 
5.7%
1 210
 
0.1%
8 8813
 
4.9%
9 4070
 
2.3%
ValueCountFrequency (%)
9 4070
 
2.3%
8 8813
 
4.9%
1 210
 
0.1%
0 10261
 
5.7%
-4 156650
87.0%

NACCOTHP
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.264244128
Minimum-4
Maximum9
Zeros27679
Zeros (%)15.4%
Negative148013
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:14.615103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.591743675
Coefficient of variation (CV)-0.4876300954
Kurtosis1.342180909
Mean-3.264244128
Median Absolute Deviation (MAD)0
Skewness1.751676277
Sum-587577
Variance2.533647928
MonotonicityNot monotonic
2023-09-07T18:32:14.732690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 148013
82.2%
0 27679
 
15.4%
1 4290
 
2.4%
8 13
 
< 0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
-4 148013
82.2%
0 27679
 
15.4%
1 4290
 
2.4%
8 13
 
< 0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
9 9
 
< 0.1%
8 13
 
< 0.1%
1 4290
 
2.4%
0 27679
 
15.4%
-4 148013
82.2%

NACCBNKF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.134335904
Minimum-4
Maximum9
Zeros5911
Zeros (%)3.3%
Negative148014
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:14.841202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.891151757
Coefficient of variation (CV)-0.6033660128
Kurtosis2.664788539
Mean-3.134335904
Median Absolute Deviation (MAD)0
Skewness1.898703958
Sum-564193
Variance3.576454967
MonotonicityNot monotonic
2023-09-07T18:32:14.953718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 148014
82.2%
1 25856
 
14.4%
0 5911
 
3.3%
9 223
 
0.1%
ValueCountFrequency (%)
-4 148014
82.2%
0 5911
 
3.3%
1 25856
 
14.4%
9 223
 
0.1%
ValueCountFrequency (%)
9 223
 
0.1%
1 25856
 
14.4%
0 5911
 
3.3%
-4 148014
82.2%

NPBNKB
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.369241795
Minimum-4
Maximum9
Zeros3519
Zeros (%)2.0%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:15.061235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.642726812
Coefficient of variation (CV)-0.4875657233
Kurtosis3.512522646
Mean-3.369241795
Median Absolute Deviation (MAD)0
Skewness2.27440718
Sum-606477
Variance2.69855138
MonotonicityNot monotonic
2023-09-07T18:32:15.174753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 156650
87.0%
1 19799
 
11.0%
0 3519
 
2.0%
9 36
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 3519
 
2.0%
1 19799
 
11.0%
9 36
 
< 0.1%
ValueCountFrequency (%)
9 36
 
< 0.1%
1 19799
 
11.0%
0 3519
 
2.0%
-4 156650
87.0%

NACCFORM
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.124097242
Minimum-4
Maximum9
Zeros2860
Zeros (%)1.6%
Negative148014
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:15.283270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.894827967
Coefficient of variation (CV)-0.6065201626
Kurtosis1.448129144
Mean-3.124097242
Median Absolute Deviation (MAD)0
Skewness1.759212337
Sum-562350
Variance3.590373026
MonotonicityNot monotonic
2023-09-07T18:32:15.398794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 148014
82.2%
1 29058
 
16.1%
0 2860
 
1.6%
9 72
 
< 0.1%
ValueCountFrequency (%)
-4 148014
82.2%
0 2860
 
1.6%
1 29058
 
16.1%
9 72
 
< 0.1%
ValueCountFrequency (%)
9 72
 
< 0.1%
1 29058
 
16.1%
0 2860
 
1.6%
-4 148014
82.2%

NACCPARA
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.113425257
Minimum-4
Maximum9
Zeros427
Zeros (%)0.2%
Negative148014
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:15.509304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.908405778
Coefficient of variation (CV)-0.6129602031
Kurtosis0.9110567477
Mean-3.113425257
Median Absolute Deviation (MAD)0
Skewness1.694685838
Sum-560429
Variance3.642012614
MonotonicityNot monotonic
2023-09-07T18:32:15.623333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 148014
82.2%
1 31555
 
17.5%
0 427
 
0.2%
9 8
 
< 0.1%
ValueCountFrequency (%)
-4 148014
82.2%
0 427
 
0.2%
1 31555
 
17.5%
9 8
 
< 0.1%
ValueCountFrequency (%)
9 8
 
< 0.1%
1 31555
 
17.5%
0 427
 
0.2%
-4 148014
82.2%

NACCCSFP
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.226206084
Minimum-4
Maximum9
Zeros21032
Zeros (%)11.7%
Negative148014
Negative (%)82.2%
Memory size1.4 MiB
2023-09-07T18:32:15.736856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile1
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.682093359
Coefficient of variation (CV)-0.521384349
Kurtosis1.746931399
Mean-3.226206084
Median Absolute Deviation (MAD)0
Skewness1.803930704
Sum-580730
Variance2.829438069
MonotonicityNot monotonic
2023-09-07T18:32:15.850373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 148014
82.2%
0 21032
 
11.7%
1 10912
 
6.1%
9 46
 
< 0.1%
ValueCountFrequency (%)
-4 148014
82.2%
0 21032
 
11.7%
1 10912
 
6.1%
9 46
 
< 0.1%
ValueCountFrequency (%)
9 46
 
< 0.1%
1 10912
 
6.1%
0 21032
 
11.7%
-4 148014
82.2%

NPBNKF
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.464239684
Minimum-4
Maximum9
Zeros21051
Zeros (%)11.7%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:15.960893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.405696512
Coefficient of variation (CV)-0.4057734568
Kurtosis5.673727772
Mean-3.464239684
Median Absolute Deviation (MAD)0
Skewness2.444624802
Sum-623577
Variance1.975982683
MonotonicityNot monotonic
2023-09-07T18:32:16.073409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 156650
87.0%
0 21051
 
11.7%
1 2213
 
1.2%
9 90
 
< 0.1%
ValueCountFrequency (%)
-4 156650
87.0%
0 21051
 
11.7%
1 2213
 
1.2%
9 90
 
< 0.1%
ValueCountFrequency (%)
9 90
 
< 0.1%
1 2213
 
1.2%
0 21051
 
11.7%
-4 156650
87.0%

NPFAUT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.451601076
Minimum-4
Maximum9
Zeros22504
Zeros (%)12.5%
Negative156650
Negative (%)87.0%
Memory size1.4 MiB
2023-09-07T18:32:16.180926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile0
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.504136078
Coefficient of variation (CV)-0.4357792355
Kurtosis15.1139101
Mean-3.451601076
Median Absolute Deviation (MAD)0
Skewness3.263210019
Sum-621302
Variance2.262425341
MonotonicityNot monotonic
2023-09-07T18:32:16.296445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 156650
87.0%
0 22504
 
12.5%
9 556
 
0.3%
1 294
 
0.2%
ValueCountFrequency (%)
-4 156650
87.0%
0 22504
 
12.5%
1 294
 
0.2%
9 556
 
0.3%
ValueCountFrequency (%)
9 556
 
0.3%
1 294
 
0.2%
0 22504
 
12.5%
-4 156650
87.0%

NACCDAGE
Real number (ℝ)

Distinct79
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean653.2726106
Minimum27
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:32:16.435469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile73
Q194
median888
Q3888
95-th percentile888
Maximum888
Range861
Interquartile range (IQR)794

Descriptive statistics

Standard deviation365.8718723
Coefficient of variation (CV)0.5600600214
Kurtosis-1.156660998
Mean653.2726106
Median Absolute Deviation (MAD)0
Skewness-0.9176924149
Sum117591683
Variance133862.2269
MonotonicityNot monotonic
2023-09-07T18:32:16.588855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 127509
70.8%
86 2217
 
1.2%
88 2217
 
1.2%
89 2216
 
1.2%
90 2210
 
1.2%
84 2174
 
1.2%
87 2128
 
1.2%
92 1965
 
1.1%
85 1948
 
1.1%
91 1905
 
1.1%
Other values (69) 33515
 
18.6%
ValueCountFrequency (%)
27 1
 
< 0.1%
31 3
 
< 0.1%
33 2
 
< 0.1%
35 17
< 0.1%
36 1
 
< 0.1%
ValueCountFrequency (%)
888 127509
70.8%
111 2
 
< 0.1%
110 1
 
< 0.1%
109 17
 
< 0.1%
107 37
 
< 0.1%

NACCINT
Real number (ℝ)

Distinct167
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637.9233073
Minimum0
Maximum999
Zeros1044
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-09-07T18:32:16.736882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q141
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)847

Descriptive statistics

Standard deviation393.8283037
Coefficient of variation (CV)0.6173599542
Kurtosis-1.118568246
Mean637.9233073
Median Absolute Deviation (MAD)0
Skewness-0.9360047117
Sum114828747
Variance155100.7328
MonotonicityNot monotonic
2023-09-07T18:32:16.894402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 127509
70.8%
5 2474
 
1.4%
6 2465
 
1.4%
4 2419
 
1.3%
9 2384
 
1.3%
7 2336
 
1.3%
8 2287
 
1.3%
11 2266
 
1.3%
3 2065
 
1.1%
2 1998
 
1.1%
Other values (157) 31801
 
17.7%
ValueCountFrequency (%)
0 1044
0.6%
1 1825
1.0%
2 1998
1.1%
3 2065
1.1%
4 2419
1.3%
ValueCountFrequency (%)
999 581
 
0.3%
888 127509
70.8%
190 1
 
< 0.1%
187 1
 
< 0.1%
185 1
 
< 0.1%

NPNIT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.705650986
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:17.013427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.340490833
Coefficient of variation (CV)-0.361742333
Kurtosis20.12433971
Mean-3.705650986
Median Absolute Deviation (MAD)0
Skewness4.56725474
Sum-667032
Variance1.796915673
MonotonicityNot monotonic
2023-09-07T18:32:17.126946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 171361
95.2%
1 4017
 
2.2%
4 1854
 
1.0%
2 1619
 
0.9%
3 1068
 
0.6%
5 57
 
< 0.1%
9 28
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 4017
 
2.2%
2 1619
 
0.9%
3 1068
 
0.6%
4 1854
 
1.0%
ValueCountFrequency (%)
9 28
 
< 0.1%
5 57
 
< 0.1%
4 1854
1.0%
3 1068
0.6%
2 1619
0.9%

NPCERAD
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.687729162
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:17.238466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433285064
Coefficient of variation (CV)-0.3886633212
Kurtosis21.1007166
Mean-3.687729162
Median Absolute Deviation (MAD)0
Skewness4.659417788
Sum-663806
Variance2.054306074
MonotonicityNot monotonic
2023-09-07T18:32:17.354988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-4 171361
95.2%
1 3843
 
2.1%
4 1801
 
1.0%
5 1191
 
0.7%
2 956
 
0.5%
3 824
 
0.5%
9 28
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 3843
 
2.1%
2 956
 
0.5%
3 824
 
0.5%
4 1801
 
1.0%
ValueCountFrequency (%)
9 28
 
< 0.1%
5 1191
0.7%
4 1801
1.0%
3 824
0.5%
2 956
0.5%

NPADRDA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.694356792
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:17.465500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.375959762
Coefficient of variation (CV)-0.3724490728
Kurtosis17.6554471
Mean-3.694356792
Median Absolute Deviation (MAD)0
Skewness4.378054297
Sum-664999
Variance1.893265266
MonotonicityNot monotonic
2023-09-07T18:32:17.581013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
3 5408
 
3.0%
1 2361
 
1.3%
2 858
 
0.5%
9 16
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 2361
 
1.3%
2 858
 
0.5%
3 5408
 
3.0%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
3 5408
 
3.0%
2 858
 
0.5%
1 2361
 
1.3%
-4 171361
95.2%

NPOCRIT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.668846248
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:17.690531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.477642089
Coefficient of variation (CV)-0.4027538875
Kurtosis16.31982697
Mean-3.668846248
Median Absolute Deviation (MAD)0
Skewness4.261771868
Sum-660407
Variance2.183426143
MonotonicityNot monotonic
2023-09-07T18:32:17.811051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
3 7729
 
4.3%
2 808
 
0.4%
1 90
 
< 0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 90
 
< 0.1%
2 808
 
0.4%
3 7729
 
4.3%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
3 7729
 
4.3%
2 808
 
0.4%
1 90
 
< 0.1%
-4 171361
95.2%

NPVOTH
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.712211951
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:17.919078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.283817595
Coefficient of variation (CV)-0.3458362863
Kurtosis16.25953074
Mean-3.712211951
Median Absolute Deviation (MAD)0
Skewness4.257506445
Sum-668213
Variance1.648187617
MonotonicityNot monotonic
2023-09-07T18:32:18.035593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
2 7736
 
4.3%
1 493
 
0.3%
3 410
 
0.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 493
 
0.3%
2 7736
 
4.3%
3 410
 
0.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
3 410
 
0.2%
2 7736
 
4.3%
1 493
 
0.3%
-4 171361
95.2%

NPLEWYCS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.564865225
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171446
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:18.145111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.999060397
Coefficient of variation (CV)-0.5607674543
Kurtosis19.46193498
Mean-3.564865225
Median Absolute Deviation (MAD)0
Skewness4.557664546
Sum-641690
Variance3.996242472
MonotonicityNot monotonic
2023-09-07T18:32:18.261649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 171446
95.2%
6 5891
 
3.3%
1 937
 
0.5%
3 676
 
0.4%
2 529
 
0.3%
9 525
 
0.3%
ValueCountFrequency (%)
-4 171446
95.2%
1 937
 
0.5%
2 529
 
0.3%
3 676
 
0.4%
6 5891
 
3.3%
ValueCountFrequency (%)
9 525
 
0.3%
6 5891
3.3%
3 676
 
0.4%
2 529
 
0.3%
1 937
 
0.5%

NPGENE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.626397191
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:18.372144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.79674942
Coefficient of variation (CV)-0.4954640447
Kurtosis30.0935861
Mean-3.626397191
Median Absolute Deviation (MAD)0
Skewness5.347732322
Sum-652766
Variance3.228308479
MonotonicityNot monotonic
2023-09-07T18:32:18.489659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 171361
95.2%
3 3294
 
1.8%
1 2896
 
1.6%
9 2120
 
1.2%
2 256
 
0.1%
4 77
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 2896
 
1.6%
2 256
 
0.1%
3 3294
 
1.8%
4 77
 
< 0.1%
ValueCountFrequency (%)
9 2120
1.2%
4 77
 
< 0.1%
3 3294
1.8%
2 256
 
0.1%
1 2896
1.6%

NPTAUHAP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.385652541
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:18.603178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.748848969
Coefficient of variation (CV)-0.8119111266
Kurtosis16.27096945
Mean-3.385652541
Median Absolute Deviation (MAD)0
Skewness4.270031627
Sum-609431
Variance7.556170654
MonotonicityNot monotonic
2023-09-07T18:32:18.718204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 171361
95.2%
9 8409
 
4.7%
1 146
 
0.1%
2 79
 
< 0.1%
3 8
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 146
 
0.1%
2 79
 
< 0.1%
3 8
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
9 8409
4.7%
4 1
 
< 0.1%
3 8
 
< 0.1%
2 79
 
< 0.1%
1 146
 
0.1%

NPPRNP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.38583587
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:18.828723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.74741321
Coefficient of variation (CV)-0.8114431163
Kurtosis16.27251601
Mean-3.38583587
Median Absolute Deviation (MAD)0
Skewness4.269650185
Sum-609464
Variance7.548279346
MonotonicityNot monotonic
2023-09-07T18:32:18.944237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 171361
95.2%
9 8388
 
4.7%
2 133
 
0.1%
1 72
 
< 0.1%
3 50
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 72
 
< 0.1%
2 133
 
0.1%
3 50
 
< 0.1%
9 8388
 
4.7%
ValueCountFrequency (%)
9 8388
 
4.7%
3 50
 
< 0.1%
2 133
 
0.1%
1 72
 
< 0.1%
-4 171361
95.2%

NPCHROM
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.118430702
Minimum-4
Maximum99
Zeros0
Zeros (%)0.0%
Negative171361
Negative (%)95.2%
Memory size1.4 MiB
2023-09-07T18:32:19.062755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum99
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.17721927
Coefficient of variation (CV)-12.67599258
Kurtosis30.58717235
Mean-1.118430702
Median Absolute Deviation (MAD)0
Skewness5.423383627
Sum-201322
Variance200.9935462
MonotonicityNot monotonic
2023-09-07T18:32:19.187272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-4 171361
95.2%
50 5256
 
2.9%
99 2073
 
1.2%
13 1177
 
0.7%
2 40
 
< 0.1%
10 24
 
< 0.1%
7 21
 
< 0.1%
9 16
 
< 0.1%
1 13
 
< 0.1%
4 12
 
< 0.1%
Other values (2) 11
 
< 0.1%
ValueCountFrequency (%)
-4 171361
95.2%
1 13
 
< 0.1%
2 40
 
< 0.1%
4 12
 
< 0.1%
7 21
 
< 0.1%
ValueCountFrequency (%)
99 2073
 
1.2%
50 5256
2.9%
13 1177
 
0.7%
12 1
 
< 0.1%
11 10
 
< 0.1%

NPPNORM
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.771888402
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173092
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:19.296789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.142484121
Coefficient of variation (CV)-0.3028944653
Kurtosis21.22804071
Mean-3.771888402
Median Absolute Deviation (MAD)0
Skewness4.816171572
Sum-678955
Variance1.305269966
MonotonicityNot monotonic
2023-09-07T18:32:19.412308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173092
96.2%
2 6505
 
3.6%
1 403
 
0.2%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173092
96.2%
0 4
 
< 0.1%
1 403
 
0.2%
2 6505
 
3.6%
ValueCountFrequency (%)
2 6505
 
3.6%
1 403
 
0.2%
0 4
 
< 0.1%
-4 173092
96.2%

NPCNORM
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.769999556
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173095
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:19.523336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.151382682
Coefficient of variation (CV)-0.305406583
Kurtosis21.11484267
Mean-3.769999556
Median Absolute Deviation (MAD)0
Skewness4.807313439
Sum-678615
Variance1.325682081
MonotonicityNot monotonic
2023-09-07T18:32:19.633857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173095
96.2%
2 6860
 
3.8%
1 45
 
< 0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173095
96.2%
0 4
 
< 0.1%
1 45
 
< 0.1%
2 6860
 
3.8%
ValueCountFrequency (%)
2 6860
 
3.8%
1 45
 
< 0.1%
0 4
 
< 0.1%
-4 173095
96.2%

NPPADP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.767021844
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172881
Negative (%)96.0%
Memory size1.4 MiB
2023-09-07T18:32:19.747378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.149518331
Coefficient of variation (CV)-0.3051530835
Kurtosis20.57127868
Mean-3.767021844
Median Absolute Deviation (MAD)0
Skewness4.744710727
Sum-678079
Variance1.321392394
MonotonicityNot monotonic
2023-09-07T18:32:19.860532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172881
96.0%
2 6326
 
3.5%
1 793
 
0.4%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172881
96.0%
0 4
 
< 0.1%
1 793
 
0.4%
2 6326
 
3.5%
ValueCountFrequency (%)
2 6326
 
3.5%
1 793
 
0.4%
0 4
 
< 0.1%
-4 172881
96.0%

NPCADP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770482878
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172991
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:19.971051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.14160175
Coefficient of variation (CV)-0.3027733546
Kurtosis20.96331022
Mean-3.770482878
Median Absolute Deviation (MAD)0
Skewness4.7859459
Sum-678702
Variance1.303254555
MonotonicityNot monotonic
2023-09-07T18:32:20.080569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172991
96.1%
2 6253
 
3.5%
1 756
 
0.4%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172991
96.1%
0 4
 
< 0.1%
1 756
 
0.4%
2 6253
 
3.5%
ValueCountFrequency (%)
2 6253
 
3.5%
1 756
 
0.4%
0 4
 
< 0.1%
-4 172991
96.1%

NPPAD
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.766310749
Minimum-4
Maximum2
Zeros0
Zeros (%)0.0%
Negative172215
Negative (%)95.7%
Memory size1.4 MiB
2023-09-07T18:32:20.191096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.103557903
Coefficient of variation (CV)-0.293007661
Kurtosis18.9492722
Mean-3.766310749
Median Absolute Deviation (MAD)0
Skewness4.553540224
Sum-677951
Variance1.217840045
MonotonicityNot monotonic
2023-09-07T18:32:20.300637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 172215
95.7%
1 4669
 
2.6%
2 3120
 
1.7%
ValueCountFrequency (%)
-4 172215
95.7%
1 4669
 
2.6%
2 3120
 
1.7%
ValueCountFrequency (%)
2 3120
 
1.7%
1 4669
 
2.6%
-4 172215
95.7%

NPCAD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.766010755
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172882
Negative (%)96.0%
Memory size1.4 MiB
2023-09-07T18:32:20.407155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.154213562
Coefficient of variation (CV)-0.3064817487
Kurtosis20.51704702
Mean-3.766010755
Median Absolute Deviation (MAD)0
Skewness4.740421219
Sum-677897
Variance1.332208947
MonotonicityNot monotonic
2023-09-07T18:32:20.522181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172882
96.0%
2 6513
 
3.6%
1 605
 
0.3%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172882
96.0%
0 4
 
< 0.1%
1 605
 
0.3%
2 6513
 
3.6%
ValueCountFrequency (%)
2 6513
 
3.6%
1 605
 
0.3%
0 4
 
< 0.1%
-4 172882
96.0%

NPPLEWY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.77024955
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172978
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:20.636696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.141729998
Coefficient of variation (CV)-0.3028261081
Kurtosis20.92621481
Mean-3.77024955
Median Absolute Deviation (MAD)0
Skewness4.781812969
Sum-678660
Variance1.303547387
MonotonicityNot monotonic
2023-09-07T18:32:20.750216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172978
96.1%
2 6230
 
3.5%
1 792
 
0.4%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172978
96.1%
0 4
 
< 0.1%
1 792
 
0.4%
2 6230
 
3.5%
ValueCountFrequency (%)
2 6230
 
3.5%
1 792
 
0.4%
0 4
 
< 0.1%
-4 172978
96.1%

NPCLEWY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770282883
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172911
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:20.863727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.136674783
Coefficient of variation (CV)-0.3014826256
Kurtosis20.80023111
Mean-3.770282883
Median Absolute Deviation (MAD)0
Skewness4.765690083
Sum-678666
Variance1.292029562
MonotonicityNot monotonic
2023-09-07T18:32:21.273792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172911
96.1%
2 5889
 
3.3%
1 1200
 
0.7%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172911
96.1%
0 4
 
< 0.1%
1 1200
 
0.7%
2 5889
 
3.3%
ValueCountFrequency (%)
2 5889
 
3.3%
1 1200
 
0.7%
0 4
 
< 0.1%
-4 172911
96.1%

NPPVASC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.765082998
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172865
Negative (%)96.0%
Memory size1.4 MiB
2023-09-07T18:32:21.379309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.157214765
Coefficient of variation (CV)-0.3073543838
Kurtosis20.43574953
Mean-3.765082998
Median Absolute Deviation (MAD)0
Skewness4.732357016
Sum-677730
Variance1.339146012
MonotonicityNot monotonic
2023-09-07T18:32:21.488831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172865
96.0%
2 6595
 
3.7%
1 540
 
0.3%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172865
96.0%
0 4
 
< 0.1%
1 540
 
0.3%
2 6595
 
3.7%
ValueCountFrequency (%)
2 6595
 
3.7%
1 540
 
0.3%
0 4
 
< 0.1%
-4 172865
96.0%

NPCVASC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.764994111
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative172575
Negative (%)95.9%
Memory size1.4 MiB
2023-09-07T18:32:21.594348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.136551572
Coefficient of variation (CV)-0.3018733996
Kurtosis19.8708822
Mean-3.764994111
Median Absolute Deviation (MAD)0
Skewness4.661072096
Sum-677714
Variance1.291749476
MonotonicityNot monotonic
2023-09-07T18:32:21.704880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 172575
95.9%
2 5161
 
2.9%
1 2264
 
1.3%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 172575
95.9%
0 4
 
< 0.1%
1 2264
 
1.3%
2 5161
 
2.9%
ValueCountFrequency (%)
2 5161
 
2.9%
1 2264
 
1.3%
0 4
 
< 0.1%
-4 172575
95.9%

NPPFTLD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770660652
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173008
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:21.813397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.142021844
Coefficient of variation (CV)-0.3028704911
Kurtosis21.00458234
Mean-3.770660652
Median Absolute Deviation (MAD)0
Skewness4.790772032
Sum-678734
Variance1.304213891
MonotonicityNot monotonic
2023-09-07T18:32:21.924426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173008
96.1%
2 6306
 
3.5%
1 686
 
0.4%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173008
96.1%
0 4
 
< 0.1%
1 686
 
0.4%
2 6306
 
3.5%
ValueCountFrequency (%)
2 6306
 
3.5%
1 686
 
0.4%
0 4
 
< 0.1%
-4 173008
96.1%

NPCFTLD
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770877314
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173104
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:22.032945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.148011177
Coefficient of variation (CV)-0.3044414022
Kurtosis21.18568719
Mean-3.770877314
Median Absolute Deviation (MAD)0
Skewness4.81382503
Sum-678773
Variance1.317929663
MonotonicityNot monotonic
2023-09-07T18:32:22.143483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173104
96.2%
2 6747
 
3.7%
1 149
 
0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173104
96.2%
0 4
 
< 0.1%
1 149
 
0.1%
2 6747
 
3.7%
ValueCountFrequency (%)
2 6747
 
3.7%
1 149
 
0.1%
0 4
 
< 0.1%
-4 173104
96.2%

NPPHIPP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770155108
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173083
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:22.248998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.149801097
Coefficient of variation (CV)-0.3049744808
Kurtosis21.10490879
Mean-3.770155108
Median Absolute Deviation (MAD)0
Skewness4.805467644
Sum-678643
Variance1.322042562
MonotonicityNot monotonic
2023-09-07T18:32:22.361112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173083
96.2%
2 6772
 
3.8%
1 145
 
0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173083
96.2%
0 4
 
< 0.1%
1 145
 
0.1%
2 6772
 
3.8%
ValueCountFrequency (%)
2 6772
 
3.8%
1 145
 
0.1%
0 4
 
< 0.1%
-4 173083
96.2%

NPCHIPP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.771805071
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173055
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:22.469648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.140167544
Coefficient of variation (CV)-0.3022869747
Kurtosis21.15672235
Mean-3.771805071
Median Absolute Deviation (MAD)0
Skewness4.807152107
Sum-678940
Variance1.299982029
MonotonicityNot monotonic
2023-09-07T18:32:22.578182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173055
96.1%
2 6335
 
3.5%
1 610
 
0.3%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173055
96.1%
0 4
 
< 0.1%
1 610
 
0.3%
2 6335
 
3.5%
ValueCountFrequency (%)
2 6335
 
3.5%
1 610
 
0.3%
0 4
 
< 0.1%
-4 173055
96.1%

NPPPRION
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.771188418
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173125
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:22.687708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.148107097
Coefficient of variation (CV)-0.3044417222
Kurtosis21.24064076
Mean-3.771188418
Median Absolute Deviation (MAD)0
Skewness4.82009634
Sum-678829
Variance1.318149905
MonotonicityNot monotonic
2023-09-07T18:32:22.798232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173125
96.2%
2 6796
 
3.8%
1 79
 
< 0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173125
96.2%
0 4
 
< 0.1%
1 79
 
< 0.1%
2 6796
 
3.8%
ValueCountFrequency (%)
2 6796
 
3.8%
1 79
 
< 0.1%
0 4
 
< 0.1%
-4 173125
96.2%

NPCPRION
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.770988422
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173130
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:22.910756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1493875
Coefficient of variation (CV)-0.3047974088
Kurtosis21.23598496
Mean-3.770988422
Median Absolute Deviation (MAD)0
Skewness4.82015583
Sum-678793
Variance1.321091625
MonotonicityNot monotonic
2023-09-07T18:32:23.021805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173130
96.2%
2 6857
 
3.8%
1 13
 
< 0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173130
96.2%
0 4
 
< 0.1%
1 13
 
< 0.1%
2 6857
 
3.8%
ValueCountFrequency (%)
2 6857
 
3.8%
1 13
 
< 0.1%
0 4
 
< 0.1%
-4 173130
96.2%

NPPOTH1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.771377303
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173057
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:23.132318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.142289552
Coefficient of variation (CV)-0.3028839228
Kurtosis21.1350079
Mean-3.771377303
Median Absolute Deviation (MAD)0
Skewness4.805595762
Sum-678863
Variance1.30482542
MonotonicityNot monotonic
2023-09-07T18:32:23.241837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173057
96.1%
2 6422
 
3.6%
1 521
 
0.3%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173057
96.1%
0 4
 
< 0.1%
1 521
 
0.3%
2 6422
 
3.6%
ValueCountFrequency (%)
2 6422
 
3.6%
1 521
 
0.3%
0 4
 
< 0.1%
-4 173057
96.1%

NPCOTH1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.774371681
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173023
Negative (%)96.1%
Memory size1.4 MiB
2023-09-07T18:32:23.354355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.125868871
Coefficient of variation (CV)-0.2982930581
Kurtosis21.23692916
Mean-3.774371681
Median Absolute Deviation (MAD)0
Skewness4.810533211
Sum-679402
Variance1.267580715
MonotonicityNot monotonic
2023-09-07T18:32:23.462872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173023
96.1%
2 5713
 
3.2%
1 1264
 
0.7%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173023
96.1%
0 4
 
< 0.1%
1 1264
 
0.7%
2 5713
 
3.2%
ValueCountFrequency (%)
2 5713
 
3.2%
1 1264
 
0.7%
0 4
 
< 0.1%
-4 173023
96.1%

NPPOTH2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.773093931
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173193
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:23.569388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.144286096
Coefficient of variation (CV)-0.3032752739
Kurtosis21.47837079
Mean-3.773093931
Median Absolute Deviation (MAD)0
Skewness4.845221515
Sum-679172
Variance1.309390669
MonotonicityNot monotonic
2023-09-07T18:32:23.680902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173193
96.2%
2 6793
 
3.8%
1 14
 
< 0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173193
96.2%
0 4
 
< 0.1%
1 14
 
< 0.1%
2 6793
 
3.8%
ValueCountFrequency (%)
2 6793
 
3.8%
1 14
 
< 0.1%
0 4
 
< 0.1%
-4 173193
96.2%

NPCOTH2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.775216106
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173199
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:23.788418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.134903153
Coefficient of variation (CV)-0.3006193874
Kurtosis21.62629476
Mean-3.775216106
Median Absolute Deviation (MAD)0
Skewness4.857593786
Sum-679554
Variance1.288005167
MonotonicityNot monotonic
2023-09-07T18:32:23.900932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173199
96.2%
2 6441
 
3.6%
1 360
 
0.2%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173199
96.2%
0 4
 
< 0.1%
1 360
 
0.2%
2 6441
 
3.6%
ValueCountFrequency (%)
2 6441
 
3.6%
1 360
 
0.2%
0 4
 
< 0.1%
-4 173199
96.2%

NPPOTH3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.773282816
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173201
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:24.006454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.143998217
Coefficient of variation (CV)-0.3031837984
Kurtosis21.50426925
Mean-3.773282816
Median Absolute Deviation (MAD)0
Skewness4.848009919
Sum-679206
Variance1.30873192
MonotonicityNot monotonic
2023-09-07T18:32:24.116475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-4 173201
96.2%
2 6799
 
3.8%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173201
96.2%
0 4
 
< 0.1%
2 6799
 
3.8%
ValueCountFrequency (%)
2 6799
 
3.8%
0 4
 
< 0.1%
-4 173201
96.2%

NPCOTH3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.773921691
Minimum-4
Maximum2
Zeros4
Zeros (%)< 0.1%
Negative173207
Negative (%)96.2%
Memory size1.4 MiB
2023-09-07T18:32:24.222996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum2
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.141487417
Coefficient of variation (CV)-0.3024671709
Kurtosis21.55663807
Mean-3.773921691
Median Absolute Deviation (MAD)0
Skewness4.852747435
Sum-679321
Variance1.302993523
MonotonicityNot monotonic
2023-09-07T18:32:24.334514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-4 173207
96.2%
2 6714
 
3.7%
1 79
 
< 0.1%
0 4
 
< 0.1%
ValueCountFrequency (%)
-4 173207
96.2%
0 4
 
< 0.1%
1 79
 
< 0.1%
2 6714
 
3.7%
ValueCountFrequency (%)
2 6714
 
3.7%
1 79
 
< 0.1%
0 4
 
< 0.1%
-4 173207
96.2%

NPARTAG
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.876424968
Minimum-4
Maximum9
Zeros2441
Zeros (%)1.4%
Negative175294
Negative (%)97.4%
Memory size1.4 MiB
2023-09-07T18:32:24.444026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.790770795
Coefficient of variation (CV)-0.2039948668
Kurtosis69.58267061
Mean-3.876424968
Median Absolute Deviation (MAD)0
Skewness7.467410311
Sum-697772
Variance0.6253184502
MonotonicityNot monotonic
2023-09-07T18:32:24.558568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 175294
97.4%
0 2441
 
1.4%
1 2111
 
1.2%
8 129
 
0.1%
9 29
 
< 0.1%
ValueCountFrequency (%)
-4 175294
97.4%
0 2441
 
1.4%
1 2111
 
1.2%
8 129
 
0.1%
9 29
 
< 0.1%
ValueCountFrequency (%)
9 29
 
< 0.1%
8 129
 
0.1%
1 2111
 
1.2%
0 2441
 
1.4%
-4 175294
97.4%

NPATGSEV
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.928012711
Minimum-4
Maximum9
Zeros0
Zeros (%)0.0%
Negative177869
Negative (%)98.8%
Memory size1.4 MiB
2023-09-07T18:32:24.674122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6943491851
Coefficient of variation (CV)-0.1767685688
Kurtosis141.8914597
Mean-3.928012711
Median Absolute Deviation (MAD)0
Skewness11.08507129
Sum-707058
Variance0.4821207908
MonotonicityNot monotonic
2023-09-07T18:32:24.789639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 177869
98.8%
1 1244
 
0.7%
2 551
 
0.3%
8 184
 
0.1%
3 134
 
0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
-4 177869
98.8%
1 1244
 
0.7%
2 551
 
0.3%
3 134
 
0.1%
8 184
 
0.1%
ValueCountFrequency (%)
9 22
 
< 0.1%
8 184
 
0.1%
3 134
 
0.1%
2 551
0.3%
1 1244
0.7%

NPATGAMY
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.929646008
Minimum-4
Maximum9
Zeros357
Zeros (%)0.2%
Negative177822
Negative (%)98.8%
Memory size1.4 MiB
2023-09-07T18:32:24.907161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6969281005
Coefficient of variation (CV)-0.1773513693
Kurtosis179.792381
Mean-3.929646008
Median Absolute Deviation (MAD)0
Skewness12.28857956
Sum-707352
Variance0.4857087773
MonotonicityNot monotonic
2023-09-07T18:32:25.025759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 177822
98.8%
1 1543
 
0.9%
0 357
 
0.2%
8 145
 
0.1%
9 137
 
0.1%
ValueCountFrequency (%)
-4 177822
98.8%
0 357
 
0.2%
1 1543
 
0.9%
8 145
 
0.1%
9 137
 
0.1%
ValueCountFrequency (%)
9 137
 
0.1%
8 145
 
0.1%
1 1543
 
0.9%
0 357
 
0.2%
-4 177822
98.8%

NPATGAM1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.951373303
Minimum-4
Maximum9
Zeros614
Zeros (%)0.3%
Negative178434
Negative (%)99.1%
Memory size1.4 MiB
2023-09-07T18:32:25.134263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5712967286
Coefficient of variation (CV)-0.1445818162
Kurtosis262.4311019
Mean-3.951373303
Median Absolute Deviation (MAD)0
Skewness14.75769965
Sum-711263
Variance0.3263799521
MonotonicityNot monotonic
2023-09-07T18:32:25.246792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 178434
99.1%
0 614
 
0.3%
1 593
 
0.3%
2 187
 
0.1%
9 98
 
0.1%
8 78
 
< 0.1%
ValueCountFrequency (%)
-4 178434
99.1%
0 614
 
0.3%
1 593
 
0.3%
2 187
 
0.1%
8 78
 
< 0.1%
ValueCountFrequency (%)
9 98
 
0.1%
8 78
 
< 0.1%
2 187
 
0.1%
1 593
0.3%
0 614
0.3%

NPATGAM2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.950456657
Minimum-4
Maximum9
Zeros671
Zeros (%)0.4%
Negative178434
Negative (%)99.1%
Memory size1.4 MiB
2023-09-07T18:32:25.357315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5869844727
Coefficient of variation (CV)-0.148586486
Kurtosis264.8939929
Mean-3.950456657
Median Absolute Deviation (MAD)0
Skewness14.92074996
Sum-711098
Variance0.3445507712
MonotonicityNot monotonic
2023-09-07T18:32:25.473828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 178434
99.1%
0 671
 
0.4%
1 498
 
0.3%
2 196
 
0.1%
9 108
 
0.1%
8 97
 
0.1%
ValueCountFrequency (%)
-4 178434
99.1%
0 671
 
0.4%
1 498
 
0.3%
2 196
 
0.1%
8 97
 
0.1%
ValueCountFrequency (%)
9 108
 
0.1%
8 97
 
0.1%
2 196
 
0.1%
1 498
0.3%
0 671
0.4%

NPATGAM3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.952151063
Minimum-4
Maximum9
Zeros789
Zeros (%)0.4%
Negative178434
Negative (%)99.1%
Memory size1.4 MiB
2023-09-07T18:32:25.585001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5675381084
Coefficient of variation (CV)-0.1436023318
Kurtosis276.8776977
Mean-3.952151063
Median Absolute Deviation (MAD)0
Skewness15.14039715
Sum-711403
Variance0.3220995045
MonotonicityNot monotonic
2023-09-07T18:32:25.700887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 178434
99.1%
0 789
 
0.4%
1 427
 
0.2%
2 173
 
0.1%
9 112
 
0.1%
8 69
 
< 0.1%
ValueCountFrequency (%)
-4 178434
99.1%
0 789
 
0.4%
1 427
 
0.2%
2 173
 
0.1%
8 69
 
< 0.1%
ValueCountFrequency (%)
9 112
 
0.1%
8 69
 
< 0.1%
2 173
 
0.1%
1 427
0.2%
0 789
0.4%

NPATGAM4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.950489989
Minimum-4
Maximum9
Zeros647
Zeros (%)0.4%
Negative178424
Negative (%)99.1%
Memory size1.4 MiB
2023-09-07T18:32:25.811453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5810897511
Coefficient of variation (CV)-0.1470930828
Kurtosis259.0219344
Mean-3.950489989
Median Absolute Deviation (MAD)0
Skewness14.7097305
Sum-711104
Variance0.3376652988
MonotonicityNot monotonic
2023-09-07T18:32:25.924504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 178424
99.1%
0 647
 
0.4%
1 499
 
0.3%
2 247
 
0.1%
9 103
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
-4 178424
99.1%
0 647
 
0.4%
1 499
 
0.3%
2 247
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
9 103
 
0.1%
8 84
 
< 0.1%
2 247
 
0.1%
1 499
0.3%
0 647
0.4%

NPATGAM5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.950351103
Minimum-4
Maximum9
Zeros633
Zeros (%)0.4%
Negative178434
Negative (%)99.1%
Memory size1.4 MiB
2023-09-07T18:32:26.041019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5850178586
Coefficient of variation (CV)-0.1480926235
Kurtosis259.1721647
Mean-3.950351103
Median Absolute Deviation (MAD)0
Skewness14.74079124
Sum-711079
Variance0.3422458948
MonotonicityNot monotonic
2023-09-07T18:32:26.155537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 178434
99.1%
0 633
 
0.4%
1 477
 
0.3%
2 268
 
0.1%
9 108
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
-4 178434
99.1%
0 633
 
0.4%
1 477
 
0.3%
2 268
 
0.1%
8 84
 
< 0.1%
ValueCountFrequency (%)
9 108
 
0.1%
8 84
 
< 0.1%
2 268
0.1%
1 477
0.3%
0 633
0.4%

NPATGFRN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.933068154
Minimum-4
Maximum9
Zeros1309
Zeros (%)0.7%
Negative177839
Negative (%)98.8%
Memory size1.4 MiB
2023-09-07T18:32:26.268051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6912957698
Coefficient of variation (CV)-0.1757650116
Kurtosis211.567839
Mean-3.933068154
Median Absolute Deviation (MAD)0
Skewness13.39389134
Sum-707968
Variance0.4778898414
MonotonicityNot monotonic
2023-09-07T18:32:26.384575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-4 177839
98.8%
0 1309
 
0.7%
1 520
 
0.3%
9 180
 
0.1%
8 156
 
0.1%
ValueCountFrequency (%)
-4 177839
98.8%
0 1309
 
0.7%
1 520
 
0.3%
8 156
 
0.1%
9 180
 
0.1%
ValueCountFrequency (%)
9 180
 
0.1%
8 156
 
0.1%
1 520
 
0.3%
0 1309
 
0.7%
-4 177839
98.8%

NPATGFR1
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.982228173
Minimum-4
Maximum9
Zeros327
Zeros (%)0.2%
Negative179418
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:32:26.495085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3469212756
Coefficient of variation (CV)-0.08711737764
Kurtosis736.2691993
Mean-3.982228173
Median Absolute Deviation (MAD)0
Skewness24.83410621
Sum-716817
Variance0.1203543715
MonotonicityNot monotonic
2023-09-07T18:32:26.619874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 179418
99.7%
0 327
 
0.2%
1 144
 
0.1%
8 65
 
< 0.1%
2 37
 
< 0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
-4 179418
99.7%
0 327
 
0.2%
1 144
 
0.1%
2 37
 
< 0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
8 65
 
< 0.1%
2 37
 
< 0.1%
1 144
0.1%
0 327
0.2%

NPATGFR2
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.981433746
Minimum-4
Maximum9
Zeros229
Zeros (%)0.1%
Negative179418
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:32:26.729398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3589302399
Coefficient of variation (CV)-0.09015100159
Kurtosis686.1489654
Mean-3.981433746
Median Absolute Deviation (MAD)0
Skewness24.07684509
Sum-716674
Variance0.1288309171
MonotonicityNot monotonic
2023-09-07T18:32:26.850924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 179418
99.7%
0 229
 
0.1%
1 214
 
0.1%
2 63
 
< 0.1%
8 62
 
< 0.1%
9 18
 
< 0.1%
ValueCountFrequency (%)
-4 179418
99.7%
0 229
 
0.1%
1 214
 
0.1%
2 63
 
< 0.1%
8 62
 
< 0.1%
ValueCountFrequency (%)
9 18
 
< 0.1%
8 62
 
< 0.1%
2 63
 
< 0.1%
1 214
0.1%
0 229
0.1%

NPATGFR3
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.981255972
Minimum-4
Maximum9
Zeros238
Zeros (%)0.1%
Negative179418
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:32:26.958458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631678673
Coefficient of variation (CV)-0.09121942168
Kurtosis684.021462
Mean-3.981255972
Median Absolute Deviation (MAD)0
Skewness24.09986258
Sum-716642
Variance0.1318908999
MonotonicityNot monotonic
2023-09-07T18:32:27.079970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 179418
99.7%
0 238
 
0.1%
1 189
 
0.1%
2 75
 
< 0.1%
8 65
 
< 0.1%
9 19
 
< 0.1%
ValueCountFrequency (%)
-4 179418
99.7%
0 238
 
0.1%
1 189
 
0.1%
2 75
 
< 0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
9 19
 
< 0.1%
8 65
 
< 0.1%
2 75
 
< 0.1%
1 189
0.1%
0 238
0.1%

NPATGFR4
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.982400391
Minimum-4
Maximum9
Zeros396
Zeros (%)0.2%
Negative179418
Negative (%)99.7%
Memory size1.4 MiB
2023-09-07T18:32:27.188508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-4
Q1-4
median-4
Q3-4
95-th percentile-4
Maximum9
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3479933041
Coefficient of variation (CV)-0.0873828018
Kurtosis778.3668387
Mean-3.982400391
Median Absolute Deviation (MAD)0
Skewness25.56991535
Sum-716848
Variance0.1210993397
MonotonicityNot monotonic
2023-09-07T18:32:27.308051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4 179418
99.7%
0 396
 
0.2%
1 79
 
< 0.1%
8 65
 
< 0.1%
2 27
 
< 0.1%
9 19
 
< 0.1%
ValueCountFrequency (%)
-4 179418
99.7%
0 396
 
0.2%
1 79
 
< 0.1%
2 27
 
< 0.1%
8 65
 
< 0.1%
ValueCountFrequency (%)
9 19
 
< 0.1%
8 65
 
< 0.1%
2 27
 
< 0.1%
1 79
 
< 0.1%
0 396
0.2%